The MALINA oceanographic expedition : how do changes in ice cover, permafrost and UV radiation impact biodiversity and biogeochemical fluxes in the Arctic Ocean? by Massicotte, P., Amon, R. M. W., Antoine, D., Archambault, P., Balzano, S., Bélanger, S., Benner, R., Boeuf, D., Bricaud, A., Bruyant, F., Chaillou, G., Chami, M., Charrière, B., Chen, J., Claustre, H., Coupel, P., Delsaut, N., Doxaran, D., Ehn, J., Fichot, C., Forget, M. H., Fu, P., Gagnon, J., Garcia, N., Gasser, B., Ghiglione, J. F., Gorsky, G., Gosselin, M., Gourvil, P., Gratton, Y., Guillot, P., Heipieper, H. J., Heussner, S., Hooker, S. B., Huot, Y., Jeanthon, C., Jeffrey, W., Joux, F., Kawamura, K., Lansard, B., Leymarie, E., Link, H., Lovejoy, C., Marec, C., Marie, D., Martin, J., Martín, J., Massé, G., Matsuoka, A., McKague, V., Mignot, A., Miller, W. L., Miquel, J. C., Mucc,i A., Ono, K., Ortega-Retuerta, E., Panagiotopoulos, C., Papakyriakou, T., Picheral, M., Prieu,r L., Raimbault, P., Ras, J., Reynolds, R. A., Rochon, A., Rontani, J. F., Schmechtig, C., Schmidt, S., Sempéré, R., Shen, Y., Song, G., Stramski, D., Tachibana, E., Thirouard, A., Tolosa, I., Tremblay, J. E., Vaïtilingom, M., Vaulot, Daniel, Vaultier, F., Volkman, J. K., Xie, H., Zheng, G., Babin, M.

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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

“…Additionally, investigating new application domains like linked multi-physics issues or real-time simulation situations may help to increase the reach and significance of PINN approaches.…”
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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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Modeling, sampling and reconstruction of EEG signals with seizures by Leena Bhandari.

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Spectroscopic study of emergent electronic phases in transition metal based compounds by Song, Qian

“…Antiferromagnets with non-relativistic spin splitting are outstanding candidates as the next generation of spintronic materials owing to their electron-volt (eV) scale spin splitting, ultrafast spin dynamics and nearly vanishing stray fields. …”
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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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Organic donor-acceptor cocrystals for multiferroic applications by Wang, Zongrui, Zhang, Qichun

“…The cocrystallization strategy has provided an efficient route to fulfill room temperature magnetoelectricity in single phase owing to the long-range ordered π-π stacking (donor-acceptor assembled) network, long-lived excitons (with μs lifetime), spin orders (±1/2 s pin) and charge transfer (CT) dipoles in the assembled crystal lattice. …”
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EEG analysis using the linear canonical transform by Nair, Amrish

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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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Liver tumor volume estimation by Lu, Rui

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Inverted experiences. by Chong, Shari Ying Yi.

“…This thesis explores how the "roots" we plant in mass media link us to the constructs of our world and compose our perceptions of reality.…”
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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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Engineered terahertz emission from spintronic heterostructures: amplitude, phase and chirality by Agarwal, Piyush

“…As such, the photoexcitation leads to ultrafast spin-scattering events in the FM, during which the spins transport from the FM into the adjacent heavy metal(HM) layer to experience an inverse spin Hall effect, producing a transverse charge current and terahertz radiation. …”
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Optimization for real time strategy games by Ng, Heng Khai.

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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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Dynamics of a magnetic polaron in an antiferromagnet by Shen, Kaijun, Gelin, Maxim F., Sun, Kewei, Zhao, Yang

“…We uncover the nuanced dependence of hole and spin deviation dynamics on the spin-spin coupling parameter J, revealing a thermally-activated landscape where hole mobilities and spin deviations exhibit a distinct temperature-dependent relationship. …”
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