INCIDENCE AND MANAGEMENT OF BRAIN DEATH IN A GREEK PICU

P. E. Mantzafleri,E. Volakli,A. Violaki,E. Chochliourou, M. Svirkos, A. Kasimis,E. Samkinidou,O. Vrani, G. Evlavis,M. Sdougka

Global Pediatric Health（2016）SCI 2区

Hippokrateion Hosp

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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】：本文关注了常见但被忽视的淋巴疾病——脂肪瘤（Lipedema），强调了其疾病严重性以及对生活质量的影响，并探讨了脂肪瘤与纤维肌痛及继发性淋巴水肿的并发关系。

【方法】：文章通过 Turk 等人分析脂肪瘤与纤维肌痛的并发情况及其对生活质量的影响，以及 Murat 和 Schingale 研究脂肪瘤与继发性淋巴水肿的并发情况及物理治疗的效果。

【实验】：Turk 等人对354名脂肪瘤参与者进行了分析，发现35%的并发纤维肌痛情况；Murat 和 Schingale 进行了一项小规模观察，结果显示常规物理干预在脂肪瘤和继发性淋巴水肿的联合治疗中具有预期的积极效果。文中未提及具体的数据集名称。