Finding meaning behind immortality of Anne Rice’s vampires. by Nurhayati Zakaria.

“…The investigation of the myth – or more appropriately, mistaken notion – that mmortality brings happiness and peace that one seeks for, through the exploration of the first three novels in Anne Rice’s The Vampire Chronicles, namely Interview with the Vampire, The Vampire Lestat and Queen of the Damned. …”
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From dietary excess to neurodegeneration: finding the missing links in vesicular autophagic transport degradation, and stress by Lim, Yu Jia

“…We also examined for changes in autophagic markers under different dietary conditions. Our findings support the hypothesis that diets influence autophagy in C. elegans. …”
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Surge in SpikeProp algorithm by Zhang, Zhengyang

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Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

Comparison of ANN and SVM for classification of eye movements in EOG / by Lim, Jia Qi, 1992-, author 639247

Comparison of ANN and SVM for classification of eye movements in EOG / by Lim, Jia Qi, 1992-, author 644928, Norma Alias, 1968-, upervisor 632738, Fakulti Sains 8004

Book review: Being Dead Otherwise, by Anne Allison by Durie, N

Finding Bukit Brown. by Chee, Janie Alison Hui-Yen., Shiu, Pedro Pui Kar., Siti Nurbaya Rameh.

“…“Finding Bukit Brown” is an 18-minute documentary about Bukit Brown Cemetery prior to its redevelopment. …”
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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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Unravelling the complex meanings and origins of zisha teapots in the Ming and Qing dynasties by Gao, X

“…Users’ changing tastes and their appreciation of the art and craftsmanship of <em>zisha</em> teapot production are reassessed based on the new findings of this research.</p> <br> <p>By considering <em>zisha</em> teapots through multiple subtopics and testing the combined findings against one another, this study provides a new and holistic synthesis of the origins of these important wares. …”

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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Finding clarity in the fog of hybrid warfare by Li, Ian

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Maternal neonaticide, shame and social melancholy in Hsu-Ming Teo's Love and Vertigo by Zhou, Qiaoqiao, Omar, Noritah

“…Most critics read Love and Vertigo (2000) by Chinese-Australian writer Hsu-Ming Teo as a novel about diaspora and migrancy. …”
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ANN-based statistical downscaling of climate variables for rainfall prediction in Negeri Sembilan by Sudin, Vencent Kerun, Shazlyn Milleana Shaharudin, Shazlyn Milleana Shaharudin, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Ismail, Saidatul Akmar, Hairulnizam Mahdin, Hairulnizam Mahdin

“…In this study, an ANN model was used to establish a predictive relationship between predictand variables and predictors.…”
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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. …”

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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