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A normal disruptive discharge with tearing method of J-TEXT is shown in Fig. 4. Figure 4a reveals the plasma recent and 4b demonstrates the relative temperature fluctuation. The disruption takes place at all around 0.22 s which the purple dashed line indicates. And as is shown in Fig. 4e, f, a tearing method takes place from the beginning with the discharge and lasts right until disruption. As the discharge proceeds, the rotation speed of the magnetic islands slowly slows down, which may very well be indicated by the frequencies of the poloidal and toroidal Mirnov alerts. Based on the statistics on J-Textual content, 3~5 kHz is a normal frequency band for m/n�? two/1 tearing manner.

人工智能将带来怎样的学习未来—基于国际教育核心期刊和发展报告的质性元分析研究

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Our deep Finding out product, or disruption predictor, is produced up of a feature extractor plus a classifier, as is shown in Fig. 1. The characteristic extractor contains ParallelConv1D layers and LSTM layers. The ParallelConv1D layers are meant to extract spatial attributes and temporal characteristics with a comparatively small time scale. Distinctive temporal functions with distinctive time scales are sliced with various sampling prices and timesteps, respectively. To stop mixing up facts of different channels, a structure of parallel convolution 1D layer is taken. Different channels are fed into different parallel convolution 1D levels independently to deliver person output. The characteristics extracted are then stacked and concatenated together with other diagnostics that do not have to have element extraction on a small time scale.

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, pero comúnmente se le llama Bijao a la planta cuyas hojas son utilizadas como un empaque o envoltorio biodegradable organic de los famosos bocadillos veleños.

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