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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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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Study the effects of annulus fibrosus deficiency on spinal deformity using T7-T9 finite element model by Candy Sarah George

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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.…”

Age-related bone loss is associated with FGF21 but not IGFBP1 in healthy adults by Lee, Shuen Yee, Fam, Kai Deng, Chia, Kar Ling, Yap, Margaret M. C., Goh, Jorming, Yeo, Kwee Poo, Yap, Eric Peng Huat, Chotirmall, Sanjay Haresh, Lim, Chin Leong

“…The IGFBP1 concentration was not correlated with BMD at the hip or spine (all P > 0.05). In humans, FGF21 might be involved in the age-associated decline in BMD, especially at the spine, through increased bone turnover. …”
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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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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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Accuracy of thoracolumbar pedicle screw insertion based on routine use of intraoperative imaging and navigation by Sundaram, Pirateb Paramasivam Meenakshi, Oh, Jacob Yoong-Leong, Tan, Mark, Nolan, Colum Patrick, Yu, Chun Sing, Ling, Ji Min

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Evaluating Fairness of Artificial Intelligence Models for Radiology Image Classification by Sandadi, Varsha

“…Our findings indicate that cervical spine fracture detection models exhibit overall fairness, while abdominal trauma detection models demonstrate some unfairness in specific injury regions, possibly due to limited sample size. …”
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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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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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Comparative study of accounting standards between Singapore and the Peoples' Republic of China by Neo, Karn Nee, Siew, May San, Swi, Li Li

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

“…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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A two-dimensional co-rotational Timoshenko beam element with XFEM formulation by Xu, Jin, Lee, Chi King, Tan, Kang Hai

“…Pin connections and plastic hinges produce non-smooth displacement fields in beam structures. …”
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Study of heat transfer through micro-structured surfaces by Chin, Wei Hao

“…Each chip has a different microstructure in the form of very small and elongated pin-fins, which will in turn affect the critical heat flux of each component. …”
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