推动硅酸盐材料制造过程的低碳排放对于实现碳达峰、碳中和总体战略目标意义重大。本工作以平板玻璃窑炉为基础，采用数值模拟方法开展氢能在玻璃窑炉中应用的基础研究。分析采用天然气/氢气混合燃料对玻璃窑炉燃烧空间温度场/速度场分布、燃烧生成烟气成分的影响，预测氢能在玻璃窑炉中应用的可行性。结果表明，采用天然气/氢气混合燃料为玻璃液熔化提供能量，可以保证玻璃窑炉温度制度稳定。采用天然气/氢气混合燃料供能，燃料燃烧速率加快，释放热量集中，掺氢体积比为20%及以上时，燃烧形成的火焰长度会明显缩短，而热烟气在窑炉内停留时间延长。对比基础窑炉，采用掺氢比例40%的燃料，窑炉总烟气排放质量减少了4.13%，CO2排放质量减少了12.50%，烟气中NOx浓度由1 093 mg·Nm-3 (干燥，8% O2条件下)增加至1 282 mg·Nm-3 (干燥，8% O2条件下)。为推动氢能在硅酸盐制造领域的应用还需开展燃烧系统设计、耐火材料侵蚀等方面研究，以解决氢能在大型窑炉中应用存在的问题。

Ovarian cancer is one of the most aggressive and heterogeneous female tumors in the world, and serous ovarian cancer (SOC) is of particular concern for being the leading cause of ovarian cancer death. Due to its clinical and biological complexities, ovarian cancer is still considered one of the most difficult tumors to diagnose and manage. In this study, three datasets were assembled, including 30 cases of serous cystadenoma (SCA), 30 cases of serous borderline tumor (SBT), and 45 cases of serous adenocarcinoma (SAC). Mueller matrix microscopy is used to obtain the polarimetry basis parameters (PBPs) of each case, combined with a machine learning (ML) model to derive the polarimetry feature parameters (PFPs) for distinguishing serous ovarian tumor (SOT). The correlation between the mean values of PBPs and the clinicopathological features of serous ovarian cancer was analyzed. The accuracies of PFPs obtained from three types of SOT for identifying dichotomous groups (SCA versus SAC, SCA versus SBT, and SBT versus SAC) were 0.91, 0.92, and 0.8, respectively. The accuracy of PFP for identifying triadic groups (SCA versus SBT versus SAC) was 0.75. Correlation analysis between PBPs and the clinicopathological features of SOC was performed. There were correlations between some PBPs (δ, β, qL, E2, rq_cross, P2, P3, P4, and P5) and clinicopathological features, including the International Federation of Gynecology and Obstetrics (FIGO) stage, pathological grading, preoperative ascites, malignant ascites, and peritoneal implantation. The research showed that PFPs extracted from polarization images have potential applications in quantitatively differentiating the SOTs. These polarimetry basis parameters related to the clinicopathological features of SOC can be used as prognostic factors.

分别采用偶氮化合物类塑性膨胀剂(PEA1)及亚硝基化合物类塑性膨胀剂(PEA2)配制了C125海上风电超高性能灌浆料, 对比研究了塑性膨胀剂种类及掺量对C125海上风电超高性能灌浆料流动度、膨胀率、抗压强度、电通量及孔结构分布的影响规律。结果表明, 随着塑性膨胀剂掺量的增加, 灌浆料的流动度先增大后减小, 抗压强度逐渐降低, 竖向膨胀率和电通量逐渐增加。当PEA1、PEA2掺量相同时, PEA1对灌浆料的流动度、抗压强度、竖向膨胀率和电通量的影响幅度更大, 掺入PEA1后灌浆料的总孔隙率、平均孔径及大孔比例增幅更明显。