A review on substitution of natural sand with granite fines in sustainable concrete by Li, Ziyang, Lao, Junying, Wang, Lijie, Lim, Namyo Salim, Tan, Kang Hai, Qian, Shunzhi

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Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

“…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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Learning to Ask Like a Physician by Lehman, Eric(Computer scientist)

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Drag reduction in fish-like locomotion by Barrett, D.S., Triantafyllou, M.S., Yue, D.K.P., Grosenbaugh, M.A., Wolfgang, M.J.

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Butterfly-like micro air vehicle by Yang, Xiaobin

“…Little attention received for butterfly-like micro air vehicle(MAV). In this report, the objective of the project is to develop a power forward flight butterfly-like micro air vehicle with a tail to control the pitch angle. …”
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Regulation and function of innate-like T cells by Hagel, JP

“…It is expressed by NK- and T-cell subsets, particularly by innate-like T cells such as MAIT and γδT cells. CD161-expressing T-cell subsets share a transcriptional and functional phenotype, including the ability to be activated by cytokines in a T-cell receptor-independent manner, similar to NK cells. …”

Functional characterization of plasmodium falciparum reticulocyte binding like protein homologue 1 (PfRH1) by Yap, Sally Shu Lin

“…One of the protein families involved in invasion, reticulocyte binding like protein homologues (PfRHs) has been suggested to be involved in host cell selection. …”
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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…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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The role of the reticulocyte-binding-like protein homologues of Plasmodium in erythrocyte sensing and invasion by Gunalan, Karthigayan, Gao, Xiaohong, Yap, Sally Shu Lin, Huang, Ximei, Preiser, Peter Rainer

“…Two parasite protein families termed reticulocyte-binding-like protein homologues (RBL) and the erythrocyte-binding-like (EBL) protein family are conserved in all Plasmodium species and have been shown to play an important role in host cell recognition and invasion. …”
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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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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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ChromaFusionNet (CFNet): natural fusion of fine-grained color editing by Wang, Yuxi

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Statistical analysis of fine particle resuspension from rough surfaces by turbulent flows by You, Siming, Wan, Man Pun

Subjects: “…Fine Particles…”
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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

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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