PIERCE1: a determinant of left-right asymmetry in mammals by Farley, H

“…Transmission electron microscopy studies point towards a role for PIERCE1 in the assembly or trafficking of dynein arms and their components; however, protein interaction studies have proved inconclusive thus far at placing PIERCE1 within the network of known dynein arm assembly factors.…”

Surge in SpikeProp algorithm by Zhang, Zhengyang

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E2 protein nanocage as a pickering emulsifier and its applications by Sarker, Mridul

“…The selection of particles or Pickering emulsifier is crucial to engineering the characteristic features of Pickering emulsion. …”
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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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Pickering foam stabilized by diacylglycerol-based solid lipid nanoparticles: effect of protein modification by Chen, Dechu, Lee, Yee Ying, Tan, Chin Ping, Wang, Yong, Qiu, Chaoying

“…Pickering foams have great potential for applications in aerated foods, but their foaming ability and physical stability are still far from satisfactory. …”

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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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. …”

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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Biodegradable gel-emulsion for pharmaceutical and cosmetic applications by Novenia, Oerip Ariyani

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Physicochemical Properties of Films from Semirefined Carrageenan/TiO2 Integrated with Cinnamaldehyde Pickering Emulsion for Active Food Packaging by Khadijah Husna, Abd Hamid, Azilah, Ajit, Azren Aida, Asmawi, Mohd Hafiz, Arzmi, Nurul Aini, Mohd Azman

“…In the present study, active packaging films were fabricated by integrating chitosan-stabilized cinnamaldehyde Pickering emulsion (PE) and titanium dioxide particles (TNPs) into the semirefined carrageenan (SRC) matrix. …”
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The colloidal stability of water-in-oil-in-water double emulsion stabilized by Pickering emulsifier mixture in encapsulating ethanolic kenaf leaves extract by Elaine, Elaine, Tan, Chin Ping, Akanda, Md Jahurul Haque, Nyam, Kar Lin

“…This study investigates the stabilization of DE containing ethanolic kenaf leaf extract using different concentrations of Pickering emulsifier mixture (PEM). PEM consists of sodium caseinate, tween-20, and beta-cyclodextrin at the fixed ratio of 57.9:27.6:14.5% (w/w/w). …”

Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568, Haza Nuzly Abdull Hamed, supervisor 308916, Fakulti Kejuruteraan. Sekolah Komputeran 619086