Virtual pink dolphins by Lu, Dong Jun.

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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. …”

Biocementation of fine-grained soil by Ong, Jun Hao

“…Further studies are required to understand the mechanisms of the MICP treatment for fine-grained soil.…”
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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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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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Isolation and characterisation of Pink Pigmented Facultative Methylotrophs (PPFM) from Malaysian ulam leaves by Ramli, Nur Isti'anah, Abas, Faridah, Ismail, Intan Safinar, Rukayadi, Yaya, Jurime, Nuramiratul Hafizah

“…This study aims to isolate and characterise the Pink Pigmented Facultative Methylotrophs (PPFM) bacteria from the leaves of common Malaysian table salad (ulam). …”
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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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Effect of recycled fine aggregates on concrete properties by Lau, Jing Xi.

“…In this project, the bulk of the experiment conducted is mainly based on the effects of recycled fine aggregates on the properties of hardened concrete. …”
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RF processing of ultra-fine bioceramic materials by Rajendra Kumar

“…This study investigates the radio-frequency plasma synthesis of ultra-fine bioceramic materials.…”
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Comparative analysis of dehydration techniques on phytochemical and antibacterial properties on pink and purple flowers impatiens walleriana by Tan, Suat Hian, Sin, Phin Yin, Ros Azlinawati, Ramli, Mohd Hairul, Ab. Rahim, Nyuk, Ling Ma

“…Microwave-dried leaf extracts were evaluated for antibacterial activity using the disc diffusion method. Both pink and purple flower varieties demonstrated inhibition of Gram-positive and Gram-negative bacteria, with the pink flower showing greater antibacterial effects. …”
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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. …”

Investigating Interventions in Fine-grained Contexts for Habit Formation by Khan, Mina

“…Habits are automatic responses to specific contextual cues, and can help sustain behavior change. Fine-grained specific contexts are commonly used in habit formation, but interventions in automatically-detected fine-grained contexts have rarely been explored for habit formation. …”
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The fine line between jianli guanxi and la guanxi. by Loh, Wan Fong.

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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 Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…We specifically investigate training data properties related to positional bias in fine-tuned language model performance on correctly answering MCQs. …”
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Fabrication of fine features using digital light processing stereolithography by Chew, Ze Yong

“…Thus, this project was developed with the objectives to: 1. reduce production cost of Stereolithography by optimizing low end commercial Stereolithography system – ASIGA Freeform Pico 39 Plus such that it is able to print fine features 2. explore effective and convenient post processing step such that it is able to reduce material wastage and at the same time further shorten production lead time The parameter study conducted revealed that every layer thickness has a specific optimal exposure time such that the layers could be printed just fine, with minimal compromise of the internal features’ accuracy. …”
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