南京某高校宿舍潮湿与呼吸道疾病症状关系的研究

研究通过调查问卷的形式,收集学生身体健康与宿舍环境的信息,并利用SPSS对数据进行整理分析,旨在得出高校宿舍潮湿与学生呼吸道疾病症状之间的关系.研究结果表明57.9%的同学报告宿舍出现潮湿表征,43%的同学在最近12个月内出现呼吸道疾病症状,室内潮湿与学生呼吸道疾病症状之间存在显著相关性(P<0.05),室内的潮湿表征是呼吸道疾病症状爆发的危险因素(OR 2.362 95%CI),同时,研究发现学生呼吸道疾病症状的爆发以及室内潮湿表征与宿舍朝向有关.     

非一致性采集资料地震振幅属性分析

油气藏开发过程的实质就是一个流体置换的过程,这就为非一致性采集资料地震监测提供了可能。本文基于gassmann方程,详细地分析了流体替代时储层物性参数(地震波速度,密度,泊松比等)的变化规律,建立了相应的孔隙度变化地震地质模型。最终对该模型所提取的振幅类属性进行优选技术处理,找到了适合本工区的两种敏感振幅属性,为准确预测目的储层段剩余油的分布奠定了基础。     

新生代农民工职业技能培训现状、问题和对策研究

新生代农民工逐渐成为农民工的主体,为我国经济增长和城市发展作出了重要的贡献。新生代农民工素质的高低对中国未来社会可持续发展、经济可持续增长有着重要的影响。新生代农民工受教育程度比传统农民工高,有较强烈的培训意愿,他们对培训所持的态度在一定程度上将决定他们是否参加培训。农民工职业技能培训是全面提高农民工自身素质,增强其就业能力和市场竞争地位的一项重要措施。为了适应形势上的变化,农民工技能培训内容、模式也必须随着职业、技术的发展新趋势及培训对象的变化而不断创新。     

南昌市酒后驾驶现状及解决方案

随着南昌经济的快速发展,私家车越来越多。同时,人们的生活越来越丰富多彩,交际应酬越来越频繁。对于酒后驾驶,社会、家庭和个人提出了极大的异议。我们通过对南昌市酒后驾驶的现状进行调查分析,提出了相关解决方案,为构建＂中国水都＂新南昌营造一个良好的驾车环境和减少醉酒驾车的发生率贡献自己的力量。     

某水库大坝巨型溶蚀大厅加固处理方案及喷锚支护参数优化研究

某RCC重力坝坝基巨型溶蚀大厅规模大,坝基以下岩体厚度小,发育深度大,坝基开挖爆破导致洞顶以上岩体松动,存在坝基塌陷的安全隐患.在充分研究区域地形地质条件的基础上,采用三维非线性有限元法研究了不同施工方案下坝基巨型溶蚀大厅的应力场、位移场及破坏区分布,并在此基础上提出溶蚀大厅的加固处理方案及喷锚支护参数.     

Extended activated sludge model no. 1 (ASM1) for simulating biodegradation process using bacterial technology

Phosphorus is one of the most important nutrients required to support various kinds of biodegradation processes. As this particular nutrient is not included in the activated sludge model no. 1 (ASM1), this study extended this model in order to determine the fate of phosphorus during the biodegradation processes. When some of the kinetics parameters are modified using observed data from the restoration project of the Xuxi River in Wuxi City, China, from August 25 to 31 in 2009, the extended model shows excellent results. In order to obtain optimum values of coefficients of nitrogen and phosphorus, the mass fraction method was used to ensure that the final results were reasonable and practically relevant. The temporal distribution of the data calculated with the extended ASM1 approximates that of the observed data.     

3D Model Retrieval Method Based on Affinity Propagation Clustering

In order to improve the accuracy and efficiency of 3D model retrieval, the method based on affinity propagation clustering algorithm is proposed. Firstly, projection ray-based method is proposed to improve the feature extraction efficiency of 3D models. Based on the relationship between model and its projection, the intersection in 3D space is transformed into intersection in 2D space, which reduces the number of intersection and improves the efficiency of the extraction algorithm. In feature extraction, multi-layer spheres method is analyzed. The two-layer spheres method makes the feature vector more accurate and improves retrieval precision. Secondly, Semi-supervised Affinity Propagation (S-AP) clustering is utilized because it can be applied to different cluster structures. The S-AP algorithm is adopted to find the center models and then the center model collection is built. During retrieval process, the collection is utilized to classify the query model into corresponding model base and then the most similar model is retrieved in the model base. Finally, 75 sample models from Princeton library are selected to do the experiment and then 36 models are used for retrieval test. The results validate that the proposed method outperforms the original method and the retrieval precision and recall ratios are improved effectively.     

Experimental Research on the Dynamic Energy Absorbing Capacity of the Honeycomb Paperboard Filled with Polyurethane

A kind of composite buffering material was made by filling the voids of honeycomb paperboard with polyurethane. Drop tests were performed to evaluate the dynamic energy absorption capacity of the material. Based on the tests results, the mechanical behaviors of the material under low velocity dynamic impact conditions were analyzed. It was shown that the absorbed energy of the composite material varies inversely with the void diameter. The absorbed energy of the composite material is 1 - 2 times than that of honeycomb paperboard and polyurethane. The energy absorption efficiency of the composite material is better than those of honeycomb paperboard and polyurethane.     

碳纤维布加固超役混凝土电杆的破坏机理及力学性能

以某电网某路段超过服役期的钢筋混凝土电杆为研究对象,选取电杆杆身与跨中带钢圈接头的杆身试件各6根,其中各取3根试件采用碳纤维布（CFRP）沿杆件纵向进行加固,并对其进行抗弯承载力试验,对比研究在不同的碳纤维布黏贴层数下加固电杆的受力性能和破坏机理。基于试验实测数据,对强度及刚度计算方法进行了研究,并提出了刚度退化的数学表达式。研究结果表明：采用碳纤维布加固电杆后,其破坏表现为混凝土与碳纤维布的表面粘脱失效所致,纵向碳纤维布被拉断作为最终破坏形态,破坏过程迅速,脆性明显;试件的截面应变分布符合平截面假定。加固前杆身试件的承载力退化严重,加固后混凝土电杆的承载能力和刚度均有显著提高,但加固电杆的损伤发展较加固前提早,且快而集中,综合多方面考虑,建议在混凝土电杆接头附近的一定距离内采取双层、杆身其余部位采用单层的碳纤维布加固方法。