2521Abstract. Background/Aim: High-flow nasal cannula (HFNC), a new method for postoperative oxygenation, has increasingly received attention during postoperative care. However, its importance for obese patients undergoing cardiac surgery remains controversial. This systematic review and meta-analysis compared and evaluated HFNC and conventional oxygen therapy (COT) in this patient group. Materials and Methods: Literature was retrieved by searching eight public databases. Randomized controlled trials (RCTs) were selected. RevMan 5.3 was used to analyze the results and any potential bias. The primary outcome included atelectasis score at 24 h postoperatively. The secondary outcomes included PaO2/FiO2 (ratio), dyspnea score at 24 h postoperatively, intensive care unit (ICU) length of stay, and reintubation. Results: The search strategy yielded 382 studies after duplicates were removed. Finally, 3 RCTs with a total of 526 patients were included in the present study. Compared with COT, there was no significant difference in atelectasis score, dyspnea score, reintubation, and ICU length of stay. Conclusion: For obese patients undergoing cardiac surgery, postoperative use of HFNC can maintain patient's oxygenation. Additional clinical studies are needed to investigate the role of HFNC in this patient group.

Wind farms are usually located in high altitude areas with a high probability of ice occurrence. Blade icing has the potential to result in unexpected mechanical failures and downtimes. In order to avoid these problems, the priority we need to do is to detect blade icing accurately. For this purpose, a novel icing detection method based on multi-feature and multi-classifier fusion is proposed in this paper. Firstly, multi-feature composed of basic features and statistical features are extracted from the operational data. Significant features are then extracted by utilizing Light Gradient Boosting Machine. Secondly, a multi-classifier fusion approach is employed to build an fusion model, which aims to obtain a much more accurate estimation for the icing state. Overall, the proposed method in this paper can achieve more accurate detection on blade icing, compared with other models. This will minimize false alarms, helping wind farms manage the operations more efficiently.

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