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. …”

Indonesia's new capital: can Jokowi find the money? by Borsuk, Richard

“…President Joko Widodo has pushed ahead to launch his most ambitious project – building a new capital from scratch in remote Kalimantan, Borneo. Can Indonesia find the estimated US$32.5 billion needed for building a smart and green city in the jungle?…”
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Filmwise condensation of steam on pin fin arrays fabricated by selective laser melting by Ho, Jin Yao, Leong, Kai Choong

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Dopamine Nation : Finding Balance in the Age of Indulgence / by Lembke, Anna, Dr., author 655980, Penguin Publishing Group (Online service) 655981

“…Most important, it’s about how to find the delicate balance between the two, and why now more than ever finding balance is essential. …”
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Multi-agent path finding (part B) by Cao, Lifeng

“…Multi-Agent Pathfinding (MAPF) is the problem of finding paths efficient collision-free paths for sets of agents with a designated start and end goal. …”
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Finding similar motion across video sequences by Sim, Si Jia.

“…Security threats had always been an issue of concern in global countries and thus, security organizations had been trying to find ways to detect possible threats by the means of CCTVs to take a real time image of the surroundings of the public places. …”
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Design and development of a direction finding system by Li, Yuejun

“…Direction Finding System (DFS) refers to an antenna system for finding the direction of a radio source using any Direction of Arrival (DOA) estimation algorithms. …”
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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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MENGAPA YAHUDI INGIN KUASAI BAITULMUQADDIS? : Benarkah matlamat yahudi menawan Baitulmuqaddis untuk bina istana dajjal? / by Abu Muhammad Arafah Adha, 1951-, author 644018

Design of pinned and rigid bolted connections using BS 5950:2000 and Eurocode 3 by Xie, Yunshen.

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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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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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Finding meaning behind immortality of Anne Rice’s vampires. by Nurhayati Zakaria.

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Present status of communication research in Bangladesh : significant findings by Abdur Rahman

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Assessment research: convergences and divergences in theoreticalframeworks, findings and implications by Sims, D, Pienaar, L, Cilliers, F

Status epilepticus in sub-Saharan Africa: new findings by Newton, CR, Kariuki, SM

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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Study the effects of annulus fibrosus deficiency on spinal deformity using T7-T9 finite element model by Candy Sarah George

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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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