Share buy-back scheme in Singapore. by Chow, Qian Yao., Ong, Hwee Ling., Tan, Angela Ee Lin.

“…This paper addresses the legal, accounting and tax aspects of the new share buy-back scheme in Singapore. It also examines the shareholders' and companies' perspectives.…”
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When money can’t buy political love: lab experiments on vote buying in Ghana and Uganda by Burbidge, D, Cheeseman, N, Panin, A

Surge in SpikeProp algorithm by Zhang, Zhengyang

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Buying behaviour in secondhand goods market. by Lee, Chin Yee., Ting, Peck Hoon., Lee, Yuk Cheung.

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Robustness to training disturbances in SpikeProp Learning by Shrestha, Sumit Bam, Song, Qing

“…Stability is a key issue during spiking neural network training using SpikeProp. The inherent nonlinearity of Spiking Neuron means that the learning manifold changes abruptly; therefore, we need to carefully choose the learning steps at every instance. …”
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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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ZooInd: location based group buying service. by Lim, Yvonne Wei Ting

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Impact of spike anneal on ultra shallow junction formation by Lai, Chung Woh

“…This report explains the need for ultra shallow junctions for modern day CMOS devices, how spike anneal can help achieve this, reviews the important parameters if this process and how these parameters affect the performances of the CMOS transistors.…”
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Automated spike detection using cascade of simple classifiers by Guo, Jingyao

“…The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts also make the detection of spikes difficult. …”
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Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein by Zhang, Si Min, Liao, Ying, Neo, Tuan Ling, Lu, Yanning, Liu, Ding Xiang, Vahlne, Anders, Tam, James Pingkwan

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Beyond “make” or “buy”: evaluating value‐for‐money in public service delivery by Shiva, M, FitzGerald, C, Carter, E, Airoldi, M

“…This study advocates for moving beyond the polarized ‘make or buy’ debate with more instrumental considerations of “how to buy” from the perspective of the public manager.…”

Decomposing value gains – the case of the best leveraged buy-out ever by Austin, N, Phalippou, L

“…The answer might be surprising and shows both the difficulty and pertinence of carefully decomposing the sources of value creation in Leveraged Buy-Outs.…”

Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

“…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”

Missing links in The China Model by Li, Chenyang

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On the link upgrade problem for networks by Niu, Zhuo.

“…In this thesis, we study the link upgrade problem and examine some existing heuristic algorithms that have been proposed for this problem, implements and evaluate the performance of these algorithms. …”
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Unit-linked policies in Singapore by Ong, Yee Chen, Poh, Chee Chung

“…In recent years, unit-linked products have gained popularity in the life industry. …”
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FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

“…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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Investigating Factors Influencing Consumer Willingness to Buy GM Food and Nano-food by Yue, Chengyan, Zhao, Shuoli, Cummings, Christopher, Kuzma, Jennifer

“…As such, it is important to understand the factors that influence consumer desires for labeling and their willingness-to-buy (WTB) these food products. Using data from a national survey with US consumers, this study employs structural equation modeling to explore relationships between potential influences such as trust in government to manage technologies, views on restrictive government policies, perceptions about risks and benefits, and preferences for labeling on consumer’s WTB genetically modified (GM) and nano-food products. …”
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