脑外伤与血脑屏障

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Abstract

脑外伤是青少年和儿童的主要致残和致死原因,是一个全球性的医疗健康问题.它并非单一的外伤事件,而是包括一系列复杂的生物细胞学反应在内的长期病理改变.在外力作用于头部时,组织发生的扭曲、剪切和破坏,被称为原发性脑损伤.而继发性脑损伤则包括去极化、离子稳态失衡、谷氨酸兴奋性毒性、氧自由基产生、脂质过氧化、血脑屏障破坏、脑水肿、继发性出血、组织缺血、颅内压增高、线粒体功能失调、轴突断裂、炎症凋亡和细胞坏死等一系列复杂的病理过程和级联反应.最新研究表明,血脑屏障破坏是贯穿于脑外伤原发性和继发性损伤的重要病理改变[1-3].

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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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