Empirical analysis of useful financial ratios : Hong Kong and Singapore. by Chen, Ningxin., Hoo, Xiaohui., Lim, Lijun.

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Empirical study of the promotion of SESDAQ stocks to the main board of the Stock Exchange of Singapore (SES) : abnormal returns and their relationship with accounting-based Surpri... by Chua, Yun Leng., Yip, Jill., Yong, Oi Yin.

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A Tactile-enabled Hybrid Rigid-Soft Continuum Manipulator for Forceful Enveloping Grasps via Scale Invariant Design by Taylor, Ian H., Bawa, Maheera, Rodriguez, Alberto

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Using financial statements analysis for investment decision : manufacturing industry in Singapore. by Lee, Meow Keng., Soh, Wee Hing., Tan, Puay Boon.

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Empirical research on audit fees' determinants in Singapore. by Eu, Pamela Xing Li., Kwek, Yvonne Ee Wei., Loo, Ai Cheng.

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A study on the employee stock option plan in Singapore. by Peh, Hwee Hwee., Wong, Chee Yong., Yeo, In May.

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Empirical study on the market's reponse to the earnings announcements of firms in Singapore and its association with corporate governance mechanisms. by Tan, Raymond Voon Ping., Tay, Hui Yei., Zhao, Kaihong.

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Synthesis, characterization and catalytic application of novel cyclopalladated pyridine functionalized N-heterocyclic carbene complexes by Chiang, Minyi

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A study on the orientated growth, microstructure and thermal conductivity of RF reactively sputtered AIN films by Cheng, Hao

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Spintronics devices for neuromorphic computing by Tang, Shawn Zhen Kee

“…To solve this, we discuss the possibility of using a geometrically pinned magnetic domain wall memory device that utilises anti-notches for pinning, as the free layer of an MTJ, for future use in a three-terminal MRAM. …”
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Asymmetric synthesis of chiral arsine ligands promoted by organopalladium complexes by Lim, Maricar Bungabong

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An empirical study of the (financial and operational) characteristics of companies promoted from SESDAQ to the main board by Ang, Patrick Gee Wing, Ong, Geraldine Mui Hoon, Liang, Mulyaty Qiuling

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Preliminary Investigation of 4D Printing Technology for Deployable UAV Development by Chua, Chee Kai, Teoh, J. E. M., Liu, Yong, An, J., Li, Y.

“…The investigation has also shown that the folding angles (0°, 15°, 30° and 60°) of the hinge for the back wing of UAV model is programmable and controllable. …”
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Dragonfly (Sympetrum flaveolum) flight : kinematic measurement and modelling by Chen, Y. H., Martin, Skote., Zhao, Y., Huang, W. M.

“…By applying more tracking points along the leading edge around the nodus, it is shown that the leading edge is not one rigid piece, but two pieces hinged at the nodus with physical constraint of forty degrees. …”
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Asymmetric synthesis of phosphines via chiral cyclopalladium(II) complexes promoted reactions by Yi, Zhang

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Development of metal silicides for deep submicron polycrystalline silicon gate by Pang, Chong Hau

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Transverse domain wall profile for spin logic applications by Ramu, Maddu, Murapaka, Chandrasekhar, Goolaup, Sarjoosing

“…The topological defects of Transverse DWs (TDW) are of paramount importance as regards to the deterministic pinning and movement of DW within complex networks of conduits. …”
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Cell-based assays in flowing and sessile drops by Prastowo, A

“…The impact of this arrangement on cells, and the alternation of the pinning line/interface by Fetal Bovine Serum (FBS) is examined in some details. …”

Target Design and Optimizations for Spent Fuel Transmutation by Tukharyan, Grigor

“…A proposed tank design with a lead/Tc-99 target that is surrounded by LLFP pins and heavy water is considered for the spallation study. …”
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Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

“…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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