Crystalline boron-linked tetraaminoethylene radical cations by Su, Yuanting, Li, Yongxin, Ganguly, Rakesh, Kinjo, Rei

“…Single-electron oxidation of neutral boryl-linked tetraaminoethylene derivatives 4 led to the formation of radical cations 4˙+, which have been isolated and fully characterized. …”
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Patterns of link reciprocity in directed, signed networks by Gallo, A, Saracco, F, Lambiotte, R, Garlaschelli, D, Squartini, T

Strategies for translating idioms in The Murder on the Links into Arabic by Obaid H., Al Harbi Emad

“…This study focuses on the strategies of translating idioms in Christie's novel ‘The Murder on the Links’ into Arabic. Three objectives are pursued through this study. …”
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A parallel dipole line system by Gunawan, Oki, Virgus, Yudistira, Tai, Kong Fai

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Automatic electric reel line winder by Yong, Chuan Kian

“…The project also involved the setting up of an automatic electric reel line winder that is use for winding a line on a spool or a reel with a rotatable handle. …”
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Servo valve-line hydraulic system by Ong, Jia Xian.

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Automatic line matching across views by Schmid, C, Zisserman, A

“…The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. …”

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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Hybrid K -means clustering and support vector machine method for via and metal line detections in delayered IC images by Cheng, Deruo, Shi, Yiqiong, Lin, Tong, Gwee, Bah-Hwee, Toh, Kar-Ann

“…This brief proposes a hybrid K-means clustering and support vector machine (HKCSVM) method to detect the positions of vias and metal lines from delayered IC images for subsequent netlist extraction. …”
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Design analysis of data links in 2.5 dics by Visamangalam Thattai Lakshminarayanan

“…In this project, non conventional transmission line structures are proposed to improve the layout density of wide 10 high speed data links. …”
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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

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568

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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EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients by Rajput Kalpana Bharatsingh

“…In this work, we explore the feasibility of AWS-cloud based approach for handling large EEG data for automatic spike detection in epilepsy patients. The aim is to design a system which will allow neurologists to upload and download EEG data from any region for analysis purpose; in the future the data will be analysed by machine learning algorithms. …”
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Corporate governance and environmental performance : is there really a link? by Walls, Judith L., Berrone, Pascual, Phan, Phillip H.

“…Our paper seeks to address this situation by adopting a fact-based research approach that comprehensively explores the link between corporate governance and environmental performance. …”
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