Development of hybrid robot-gripper for picking foods by Tee, Isaac

“…One such example is the picking and placing of food in large quantities. …”
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Spatially controlled molecular encapsulation in natural pine pollen microcapsules by Prabhakar, Arun Kumar, Potroz, Michael G., Park, Soohyun, Miyako, Eijiro, Cho, Nam-Joon

“…Here, by exploiting the architectural features of natural pine pollen from Pinus massoniana, the spatially controlled encapsulation of two types of molecules in distinct compartments of a single microparticulate carrier is demonstrated. …”
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Surge in SpikeProp algorithm by Zhang, Zhengyang

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Large-scale tests of hinged slender reinforced concrete columns under eccentric loading by Chuang, Poon Hwei., Kong, Fung Kew.

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Niemann-Pick type c disease: pathogenesis and therapy by Colaco, A

“…<p>Niemann-Pick disease Type C is a rare, lysosomal storage disorder caused by defects in either <em>NPC1</em> (95% of cases) or <em>NPC2</em>, and characterized by progressive neurodegeneration that ultimately results in premature death. …”

Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

Competitive strategies for small business in optical pick-up manufacturing by Ge, Guo Zheng, Zhang, Jing

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Discovering genetic modifiers in Niemann-Pick Disease Type C by Rodriguez-Gil, J

“…<p>Niemann-Pick Disease, Type C (NPC) is a rare, fatal neurodegenerative disorder characterized by lysosomal accumulation of unesterified cholesterol and sphingolipids. …”

A spiking neural network for pattern recognition by Nurin Atikah Bohari

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Robustness to training disturbances in SpikeProp Learning by Shrestha, Sumit Bam, Song, Qing

“…Stability is a key issue during spiking neural network training using SpikeProp. The inherent nonlinearity of Spiking Neuron means that the learning manifold changes abruptly; therefore, we need to carefully choose the learning steps at every instance. …”
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The effect of weathering on surface characteristics of chemically modified scots pine (pinus sylvestris) wood by Amanah, Sinta, Martha, Resa, Basri, Efrida, Mubarok, Mahdi, Sekartining Rahayu, Istie, Alipraja, Irsan, Darmawan, Wayan, Gérardin, Phillippe, Emmerich, Lukas, Militz, Holger, Hani Abdullah, Ummi

“…The Ra and SFE of both untreated and modified pine specimens increased after weathering processes. …”
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Responses of gas exchange and growth in Merkus pine seedlings to expected climatic changes in Thailand by Koskela, Jarkko

“…Responses of gas exchange and growth in Merkus pine (Pinus merkusii Jungh. et de Vriese) seedlings to changing climate were analysed for high- and low-altitude sites in Thailand. …”

Development of an automatic fruit picking robot based on object detection algorithm by Wan, Jiaxin

“…In the agricultural field, especially in the process of harvest, it needs a lot of human resources to perform various tasks, such as picking fruits, which may be labor intensive. An effective robotics picking system can solve this problem to a large extent. …”
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Impact of spike anneal on ultra shallow junction formation by Lai, Chung Woh

“…This report explains the need for ultra shallow junctions for modern day CMOS devices, how spike anneal can help achieve this, reviews the important parameters if this process and how these parameters affect the performances of the CMOS transistors.…”
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Automated spike detection using cascade of simple classifiers by Guo, Jingyao

“…The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts also make the detection of spikes difficult. …”
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Pick one, but be quick : 5' splice sites and the problems of too many choices by Roca, Xavier, Krainer, Adrian R., Eperon, Ian C.

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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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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. …”

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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