華義國際（一間台灣線上遊戲公司） 成立比特幣交易平台，但目前該網站已停止營運。
Because J-Textual content doesn't have a substantial-overall performance circumstance, most tearing modes at reduced frequencies will build into locked modes and will bring about disruptions in some milliseconds. The predictor gives an alarm as being the frequencies from the Mirnov alerts strategy three.5 kHz. The predictor was qualified with raw indicators with none extracted characteristics. The only real details the product understands about tearing modes may be the sampling amount and sliding window length on the Uncooked mirnov signals. As is demonstrated in Fig. 4c, d, the product acknowledges the typical frequency of tearing method accurately and sends out the warning 80 ms forward of disruption.
Density along with the locked-manner-relevant signals also comprise a large amount of disruption-linked details. Based on data, nearly all of disruptions in J-TEXT are induced by locked modes and density restrictions, which aligns with the results. Even so, the mirnov coils which measure magnetohydrodynamic (MHD)instabilities with larger frequencies are not contributing Substantially. This is probably due to the fact these instabilities will likely not result in disruptions specifically. It is usually proven that the plasma existing is not really contributing Significantly, as the plasma current isn't going to alter Considerably on J-Textual content.
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This tends to make them not add to predicting disruptions on foreseeable future tokamak with a distinct time scale. Nevertheless, further discoveries in the Actual physical mechanisms in plasma physics could likely add to scaling a normalized time scale throughout tokamaks. We will be able to acquire a better strategy to approach signals in a larger time scale, so that even the LSTM levels on the neural community will be able to extract typical facts in diagnostics across distinctive tokamaks in a bigger time scale. Our results establish that parameter-primarily based transfer Studying is successful and it has the probable to predict disruptions in upcoming fusion reactors with diverse configurations.
比特币可以用来在网上购买商品和服务，虽然它的主要目的是价值交换，但它也可以作为一种投资。
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比特币的设计是就为了抵抗审查。比特币交易记录在公共区块链上，可以提高透明度，防止一方控制网络。这使得政府或金融机构很难控制或干预比特币网络或交易。
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We then carried out a scientific scan inside the time span. Our goal was to recognize the regular that yielded the very best Total functionality with regard to disruption prediction. By iteratively screening numerous constants, we ended up in a position to pick the exceptional value that maximized the predictive precision of our model.
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