Distributions of TEC Fluctuations and Losses of Lock Associated with Equatorial Plasma Bubbles

Haruhiko Nakata,Haruhiko KikuchiTop Scholar,Takuya Tsugawa,Yumiko Otsuka,Tatsuya Takano,Silvia E Shimakura,Kazuo ShiokawaTop Scholar,Tomoya OgawaTop Scholar

mag（2009）

Cited 23|Views7

Key words

indexation,electron density,total electron content,space weather,spatial scale,wave propagation,ionosphere,earth observation

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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【要点】：研究通过生物标志物分析确认了干燥综合征(Sjögren's Disease, SjD)三种不同表型的独特病理生理途径，并发现高干扰素签名与系统性发展风险增加相关。

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【实验】：共纳入395名患者，通过比较三种表型（B细胞活跃低症状型[BALS]、高系统性活动型[HSA]、低系统性活动高症状型[LSAHS]）的生物标志物表达，发现BALS和HSA集群中CXCL13、IL-7和TNF-RII水平较高，而高干扰素签名主要出现在BALS集群中，并与新的免疫抑制剂治疗风险增加相关。所有淋巴瘤均发生在高干扰素签名患者中。