公共建筑水系统监测体系的构建

我国公共建筑用水现状动态变化范围大,供水设备综合能效低,并存在漏损难发现、设备选型性能过剩等问题。构建公共建筑用水精细化计量监测体系,可通过收集详尽的供用水数据,形成针对不同工况的供水策略,实现节能降耗,以及对建筑供水系统设计及设备选型优化的数据支撑。阐述公共建筑水系统监测体系,包括监测指标、监测实现方法、监测位置、监测条件的设置等,探讨监测数据的应用价值,指出公共建筑水系统监测体系是实现建筑全面精细化节水的重要技术路径。     

Dilated and soft attention-guided convolutional neural network for breast cancer histology images classification

Breast cancer is one of the most common types of cancer in women, and histopathological imaging is considered the gold standard for its diagnosis. However, the great complexity of histopathological images and the considerable workload make this work extremely time-consuming, and the results may be affected by the subjectivity of the pathologist. Therefore, the development of an accurate, automated method for analysis of histopathological images is critical to this field. In this article, we propose a deep learning method guided by the attention mechanism for fast and effective classification of haematoxylin and eosin-stained breast biopsy images. First, this method takes advantage of DenseNet and uses the feature map's information. Second, we introduce dilated convolution to produce a larger receptive field. Finally, spatial attention and channel attention are used to guide the extraction of the most useful visual features. With the use of fivefold cross-validation, the best model obtained an accuracy of 96.47% on the BACH2018 dataset. We also evaluated our method on other datasets, and the experimental results demonstrated that our model has reliable performance. This study indicates that our histopathological image classifier with a soft attention-guided deep learning model for breast cancer shows significantly better results than the latest methods. It has great potential as an effective tool for automatic evaluation of digital histopathological microscopic images for computer-aided diagnosis.     

江淮丘陵区马槽河流域污染源调查分析及治理建议

随着区域城市人口增加和人民生活水平提高，江淮丘陵区中小河流水环境污染问题日益突出，成为区域社会经济发展的主要制约因素之一。本文以位于江淮丘陵区马槽河流域为研究对象，通过资料收集、问卷调查、实地勘察等手段，查明该地区入河污染物指标 COD、氨氮、TN、TP 主要贡献因素及占比，其中生活污染（51%，40%，54%，28%）、面源污染(6%，38%，9%，42%)、畜禽养殖（39%，15%，17%，25%）三类型贡献占比 90%以上，内源污染和水产养殖较少。针对污染源调查结果特征，提出镇区管网完善、农村分散处理、畜禽粪污处理、养殖废水农田消纳、污染缓冲带设置、径流拦截与再利用、河流生态化改造等治理建议，可为今后中小河流污染源调查与治理提供借鉴。     

Improving gelling properties of myofibrillar proteins incorporating with cellulose micro/nanofibres

The effects of cellulose microfibres (CMFs, Average size: 100 ± 5 μm) and cellulose nanofibres (CNFs, Average size: 60 ± 3 nm) on the properties of myofibrillar protein (MP) gels from duck breast meat were studied. The results demonstrated that CMFs and CNFs were mostly connected to MP by non-covalent bonds, the diffusion and cross-linking of MP molecules was promoted, and a denser and more complete gel network was formed. With the increases of CMFs and CNFs concentration (0–10%), the hardness was increased by 13.15% and 19.78% for CMFs10% and CNFs10% gels, respectively, and the elasticity was increased by 40% and 80%, respectively. At the same concentration (0–10%), the increase in gel hardness, viscoelasticity and immobilised water content was greater in the CNFs-MP group than in the CMFs-MP group. The CNFs-MP group had a tighter gel network, and CNFs had a better potential to improve the gelation performance of MP.