分类: 核科学技术 >> 辐射物理与技术 提交时间: 2024-04-26
摘要: 本文介绍了一种超疏水性三聚氰胺(ME)海绵(ME-g-PLMA),该海绵通过高能辐射诱导的原位共价接枝长烷基十二烷基甲基丙烯酸酯(LMA)到ME海绵上,以实现高效的油水分离。所得的ME-g-PLMA海绵具有优良的孔隙结构,具有超疏水性(水接触角为154°)和超亲油性,可吸收高达自身重量66-168倍的各类油脂。所得到的ME-g-PLMA海绵可以通过连接泵连续分离水面上的浮油,或者通过重力驱动装置分离水下的浮油。ME-g-PLMA海绵在长期浸泡在不同的腐蚀性溶液中,多次反复吸油后,也能保持其高疏水性。所得改性ME-g-PLMA海绵具有优异的分离性能,在溢油清理方面具有巨大的潜力。
分类: 计算机科学 >> 计算机科学的集成理论 提交时间: 2022-11-27 合作期刊: 《数据智能(英文)》
摘要: With the popularity of social media, there has been an increasing interest in user profiling and its applications nowadays. This paper presents our system named UIR-SIST for User Profiling Technology Evaluation Campaign in SMP CUP 2017. UIR-SIST aims to complete three tasks, including keywords extraction from blogs, user interests labeling and user growth value prediction. To this end, we first extract keywords from a users blog, including the blog itself, blogs on the same topic and other blogs published by the same user. Then a unified neural network model is constructed based on a convolutional neural network (CNN) for user interests tagging. Finally, we adopt a stacking model for predicting user growth value. We eventually receive the sixth place with evaluation scores of 0.563, 0.378 and 0.751 on the three tasks, respectively.