大凌河流域典型水生植物微生物群落吸附特征试验分析

本文采用高通测序方法对大凌河流域五刺金鱼藻、格菱、狐尾藻、水蓼及芦苇5种水生植物不同季节的微生物群落进行试验分析,分析表明:藻类密度在沉水植物表层要高于浮叶植物表层,微生物群落在浮叶植物根部的结构与其表面存在明显差异。各水生植物的优势生物群落依次为变形菌、梭菌、柔膜菌、鞭脂杆菌、杆菌、疣微菌门,且各微生物群落在季节丰度上存在明显差异性。由此可见,水环境对生物群落的影响要高于植物类型。研究成果可为大凌河流域生态修复工程提供重要理论依据。     

大气生物气溶胶的源排放与源解析研究进展

2019年新冠肺炎(COVID-19)的全球爆发引起了公众对生物气溶胶的广泛关注。生物气溶胶是大气气溶胶的重要组成部分。生物气溶胶由于具有普通气溶胶的理化性质和本身特有的生物学特性,在全球生态系统、气候变化、空气质量和公共卫生等领域均扮演十分重要的角色。然而,目前学术界对生物气溶胶的研究主要集中在采样监测、消杀防护以及其环境与健康效应等方面,关于源特性研究相对滞后。基于此,聚焦大气中微生物的来源现状,综述了最近20年来生物气溶胶的自然源和人为源排放特性研究进展,并阐述了影响源排放和输送过程的主要因素(如生物地理区域、土地利用类型和环境因素等),探讨了当前生物气溶胶的各种源解析方法。最后,给出了生物气溶胶来源下一步的研究展望,以期为深入理解生物气溶胶的来源、输送与变化机理,更好地评估大气微生物污染水平与监控病原体的气溶胶传播提供参考。     

基于数据融合的ABC-SVM社区疾病预测方法

针对现有社区医疗服务中的疾病预测方法存在数据利用率低、疾病分析类型单一、自动化程度差、疾病预测效果不理想等不足,提出在物联网大数据环境下可用于社区医疗的健康数据融合及疾病预测方法. 通过主成分分析(PCA)和聚类分析对社区中居民的生理指标数据进行特征提取;结合人工蜂群(ABC)算法构造支持向量机(SVM)非线性分类器对数据进行特征级融合分析并预测潜在疾病. 实验结果表明,所提方法的疾病识别准确率达到93.10%,相较于传统SVM方法和BP神经网络方法分别提高17.24% 和72.41%. 该方法能够在提高数据利用率、降低计算资源消耗的前提下有效识别多种潜在疾病,可实现疾病早发现、早预防、早治疗;可广泛应用于社区健康管理、老年社区监护甚至临床医疗.     

图书馆促进社会包容性发展的思考

促进社会包容性发展是图书馆从诞生伊始就坚守的价值观,通过保障信息自由与信息公平、促进多元文化理解、提高公民媒介信息素养等途径,图书馆致力于支持和促进社会包容性发展。图书馆需要进一步强化服务意识、加强跨组织协同、切实发挥信息素养培养及社区教育的服务职能、促进社区参与,为社会包容性发展提供更大支持。     

Study on Surface Engineering of Normalized Steels Subjected To Machine

Engineering the surfaces of components to improve the life and performance of parts used in automotive and aerospace engineering is the active area of research. Suitable Thermal/Mechanical/Thermo mechanical surface engineering treatments will produce extensive rearrangement of atoms in metals and alloys and corresponding marked variations in Physical, Chemical and Mechanical properties. Among the more important of these treatments are heat treatment processes such as hardening by Quenching, Induction hardening and Case Carburizing which rely on phase transformations to produce desired changes in mechanical properties. Other processes where phase transformation occur are casting, welding and machining etc. [1] Phase transformation may be homogeneous or heterogeneous. Homogeneous involves rearrangements in the structure of the material taking place simultaneously in all parts of the solid, while the heterogeneous transformation involves structural changes which are more localized. Alternatively they could be called as Isothermal and Nonisothermal transformation. But irrespective of the classification, these transformations alter the structure of the material giving rise to changes in the mechanical and physical properties of the processed material. It is of interest to review some consequences of surface modification in isothermal (Normalizing) and nonisothermal transformations (Machining) of low carbon steels.     

针对无网格并行计算的基于模糊均值聚类的分区方法*

针对国际上普遍采用的基于回归几何二分的分区方法的缺陷,提出了基于模糊均值聚类的均匀模糊均值聚类分区算法。采用该方法对不同类型的无网格几何模型进行了分区,并根据分区信息对三维实体模型进行了并行计算。通过与基于回归几何二分法的比较,充分验证该算法的有效性和可行性。     

Dynamics of Bacterial Community Structure in the Rhizosphere and Root Nodule of Soybean: Impacts of Growth Stages and Varieties

Bacterial communities in rhizosphere and root nodules have significant contributions to the growth and productivity of the soybean (Glycine max (L.) Merr.). In this report, we analyzed the physiological properties and dynamics of bacterial community structure in rhizosphere and root nodules at different growth stages using BioLog EcoPlate and high-throughput sequencing technology, respectively. The BioLog assay found that the metabolic capability of rhizosphere is in increasing trend in the growth of soybeans as compared to the bulk soil. As a result of the Illumina sequencing analysis, the microbial community structure of rhizosphere and root nodules was found to be influenced by the variety and growth stage of the soybean. At the phylum level, Actinobacteria were the most abundant in rhizosphere at all growth stages, followed by Alphaproteobacteria and Acidobacteria, and the phylum Bacteroidetes showed the greatest change. But, in the root nodules Alphaproteobacteria were dominant. The results of the OTU analysis exhibited the dominance of Bradyrhizobium during the entire stage of growth, but the ratio of non-rhizobial bacteria showed an increasing trend as the soybean growth progressed. These findings revealed that bacterial community in the rhizosphere and root nodules changed according to both the variety and growth stages of soybean in the field.     

Al-Si-Mg三元合金的溶质分凝及其对凝固过程的影响

从热力学角度分析了三元合金凝固过程中的溶质分凝行为, 利用耦合热力学计算技术研究了Al-Si-Mg三元合金溶质分凝因数在凝固过程中的变化规律, 获得了其与固相体积分数的定量关系, 进而预测了不同条件下Al-Si-Mg三元合金的凝固过程和相析出规律. 实验发现三元合金中溶质分凝因数在凝固过程变化巨大, 采用二元系中的参数使得对共晶种类和共晶分数的预测均与实验值有较大偏差. 采用耦合热力学计算技术, 获得了分凝因数在凝固过程中的变化规律, 使预测值更好地吻合于实验结果.     

冲压成形仿真过程中有限元网格模型的建立

网格模型对冲压成形模拟的精度和效率影响极大 ,文中阐述了有限元网格模型建立的方法 ,并从单元尺寸、单元类型、自适应网格再划分技术等方面论述了如何解决精度与效率的问题。     

基于交叉皮质模型的单幅图像阴影检测算法

图像中含有阴影区域对后续处理任务影响较大, 根据阴影特性, 提出基于交叉皮质模型(Intersecting cortical model, ICM)的单幅图像阴影检测算法. 通过在点火连接矩阵构造上考虑邻域像素值依赖关系, 融入局部二值模式(Local binary pattern, LBP)表征的纹理信息形成了Te-ICM模型. 根据阴影检测流程,利用模型迭代特性, 通过设计停止条件自动检测本影, 在本影修复后生成附着半影. 同时优化模型参数, 设计了基于分层聚类直方图划分的阈值下降策略. 仿真结果表明: 对于典型影像集, Te-ICM模型及相应参数设计可以较好地实现阴影检测, 输出阴影掩模准确度高, 为后续阴影去除提供了基础.