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. …”

Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

“…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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A parallel dipole line system by Gunawan, Oki, Virgus, Yudistira, Tai, Kong Fai

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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

“…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 effect of silver nitrate and silver thiosulphate on in vitro shoot regeneration of australian pink finger lime (Citrus australasica cv. Mia Rose) by Qiao, Stephanie Er Wong, Sreeramanan Subramaniam, Bee, Lynn Chew

“…Additionally, its unique caviar-like pulp has garnered significant attention in the culinary industry. …”
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Tunable surface-plasmon-polariton filter constructed by corrugated metallic line and high permittivity material by Luo, Jiang, He, Jin, Apriyana, Alit, Feng, Guangyin, Huang, Qijun, Zhang, Yue Ping

“…The tuning is done by embedding a high permittivity BST dielectric block into the gap of SPP transmission line (T-line). An obvious transmission dip at the certain frequency is observed due to Fabry-Pérot interference. …”
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On-line shape measurement using micro-optics by Li, Chongxiang

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Role of angiopoietin-like 4 in tumor growth. by Zhu, Pengcheng.

“…Tumor cells exploit various signaling molecules to promote their growth and metastasis. The angiopoietin-like 4 protein (ANGPTL4) has well-studied roles in metabolism, yet its role in cancer biology remains undefined. …”
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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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CSS-like constructions of asymmetric quantum codes by Ezerman, Martianus Frederic, Jitman, Somphong, Ling, San, Pasechnik, Dmitrii V.

“…After establishing some theoretical foundations, best-performing CSS-like AQCs are constructed. Combining some constructions of nested pairs of classical codes and linear programming, many optimal and good pure q-ary CSS-like codes for q ∈ {2,3,4,5,7,8,9} up to reasonable lengths are found. …”
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