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. …”

Filmwise condensation of steam on pin fin arrays fabricated by selective laser melting by Ho, Jin Yao, Leong, Kai Choong

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Design and application of a thyristor-based half-sine pulsed power converter for eddy current septum magnet by Liu, Yongfang, Zhou, Xiaoxuan, Li, Guoqiang, Wang, Ruiping, Yuan, Qibing

“…The required exciting current is a peak current of approximately 4-10 kA and a half-sine-wave with a base width of approximately 60 μs. …”
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L’enfant, sine qua non de la hiérarchie sociale? Le Tiers Livre de Rabelais by Kenny, N

Dok3 restrains neutrophil production of calprotectin during TLR4 sensing of SARS-CoV-2 spike protein by Loh, Jia Tong, Teo, Joey Kay Hui, Lam, Kong-Peng

“…In this study, we showed that Dok3 adaptor restrains calprotectin production by neutrophils in response to SARS-CoV-2 spike (S) protein engagement of TLR4. Dok3 recruits SHP-2 to mediate the de-phosphorylation of MyD88 at Y257, thereby attenuating downstream JAK2-STAT3 signaling and calprotectin production. …”
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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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Design of pinned and rigid bolted connections using BS 5950:2000 and Eurocode 3 by Xie, Yunshen.

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AB078. Patterns of treatment delay in patients with symptomatic metastatic epidural spinal cord compression by Hui, Si Jian, Kumar, Naresh, Tan, Cherie Lin Hui, Chua, Eugene Khye Gin, Hallinan, James Thomas Patrick Decourcy, Chan, Yiong Huak, Sree, Karuna, Tan, Jiong Hao

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Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) by Mallick, Ashis, Prasad, Dilip Kumar, Behera, Pratyush Prasanna

“…For inverse modeling, a population-based sine cosine algorithm (SCA) was employed to estimate the thermal parameters. …”
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Case Volume Justification of 3D-Navigated Spinal Procedures: A Cost-Benefit Analysis by Suri, Ikaasa, Suri, Mehr, Hu, James, Dedhia, Siddarth K., Yaeger, Kurt

“…Abstract 3D image-guidance platforms have transformed spinal surgery by enhancing visualization, increasing precision, and improving patient outcomes. …”
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Study the effects of annulus fibrosus deficiency on spinal deformity using T7-T9 finite element model by Candy Sarah George

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Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…An experimental investigation on the use of sinusoidal pin fins to enhance filmwise condensation of steam on vertical plates was carried out. …”
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Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

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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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Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites by Jin, Tianli, Gan, Weiliang, Tan, Funan, Sernicola, Nicolo Roberto, Lew, Wen Siang, Piramanayagam, S. N.

“…The control of the domain wall motion with the synthetic pinning sites is demonstrated to be a reliable technique for neuromorphic applications.…”
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The natively disordered loop of Bcl-2 undergoes phosphorylation-dependent conformational change and interacts with Pin1 by Bharatham, Nagakumar, Chia, Joel, Mu, Yuguang, Baek, Kwanghee, Yoon, Ho Sup, Kang, CongBao

“…Finally, we show that the phosphorylated peptides of the Bcl-2 loop can bind Pin1, further substantiating the phosphorylation-mediated conformation change of Bcl-2.…”
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