撤销学位论文学术影响力研究

[目的/意义]分析被撤销学位的博硕士学位论文分布情况,揭示其在学术系统的不良影响,为管理部门制订相关政策提供建议和参考,为具体实践提供方法和策略.[方法/过程]通过媒体的公开报道获得撤销学位案例,在学位论文数据库和网络阅读分享平台中获得撤销学位论文的分布数据、引用数据和Altmetrics数据,分析撤销学位论文的学术影...     

Single layer centrifugation of stallion spermatozoa consistently selects the most robust spermatozoa from the rest of the ejaculate in a large sample size

Reasons for performing study: An improvement in sperm quality after single layer centrifugation (SLC) has been seen in previous studies using small sample sizes (for example, n = 10 stallions). There is a need to investigate whether this improvement is repeatable over several breeding seasons with a larger number of stallions (n ≥ 30 stallions). Objective: To make a retrospective analysis of the results of SLC performed on more than 250 sperm samples (176 ejaculates) from 31 stallions in 3 consecutive breeding seasons. Methods: Sperm quality (motility, proportion of morphologically normal spermatozoa and the proportion of spermatozoa with undamaged chromatin) was assessed before and after SLC. Results: All parameters of sperm quality examined were significantly better in sperm samples after SLC than in their unselected counterparts (P<0.001 for each parameter). The yield of spermatozoa obtained after SLC was influenced by the type of extender used and also by the concentration of spermatozoa in the original ejaculate, with fewer spermatozoa being recovered when the loading dose contained a high concentration of spermatozoa. The optimal concentration was approximately 100 × 10⁶/ml. Sperm concentration in the samples loaded on to the colloid influenced the sperm yield while the type of semen extender affected sperm quality and survival. Furthermore, the scaled‐up SLC method was found to be suitable for use with a range of ejaculates, with similar sperm kinematics being observed for standard and scaled‐up preparations. Conclusions: SLC consistently improved the quality of stallion sperm samples from a large number of ejaculates. The method could be scaled‐up, allowing larger volumes of ejaculate to be processed easily from a wide range of stallions.     

水稻种子总RNA提取质量问题的探究

水稻种子总RNA提取在水稻分子遗传基础实验中起着非常重要的作用,然而,高质量水稻种子RNA的获取难度高,极大阻碍了cDNA文库构建、RNA-Seq和基因表达分析等相关研究工作的开展和深入。为了探讨水稻种子总RNA提取的相关影响因素,寻找合适的水稻种子总RNA提取方式,本研究通过比较Trizol法、GeneMark试剂盒法和艾德莱试剂盒法3种不同的提取方式、不同的耗材处理方法、研磨方式等不同因素改进水稻种子总RNA的提取效果。不同的检测结果显示,艾德莱多糖多酚提取试剂盒能够提取到28S、18S条带完整、降解少和纯度高的水稻种子总RNA;不同耗材处理方法中,蛋白酶K处理过的耗材提取的总RNA比另外两种方法处理过的耗材提取的总RNA降解更少,28S和18S条带更清晰和完整、总RNA质量最高、效果最好;而研磨方式上,液氮冷冻研磨法能够有效抑制RNA酶对RNA的降解。本研究对水稻种子RNA提取过程相关因素的分析和改进,为促进以水稻种子为研究对象的分子实验奠定了一定的技术基础。     

基于CNN的小麦籽粒完整性图像检测系统

为了快速、准确识别小麦籽粒的完整粒和破损粒,设计了基于卷积神经网络(CNN)的小麦籽粒完整性图像检测系统,并成功应用于实际检测中。采集完整粒和破损粒两类小麦籽粒图像,对图像进行分割、滤波等处理后,建立单粒小麦的图像数据库和形态特征数据库。采用LeNet-5、AlexNet、VGG-16和ResNet-34等4种典型卷积神经网络建立小麦籽粒完整性识别模型,并与SVM和BP神经网络所建模型进行对比。结果表明,SVM和BP神经网络所建模型的验证集识别准确率最高为92. 25%; 4种卷积神经网络模型明显优于两种传统模型,其中,识别性能最佳的AlexNet的测试集识别准确率为98. 02%,识别速率为0. 827 ms/粒。基于AlexNet模型设计了小麦籽粒完整性图像检测系统,检测结果显示,100粒小麦的检测时间为26. 3 s,其中,图像采集过程平均用时21. 2 s,图像处理与识别过程平均用时为5. 1 s,平均识别准确率为96. 67%。     

应用浮游植物生物完整性指数评价长江上游河流健康

2013年11月-2014年6月对长江上游宜宾至江津段五个断面的浮游植物进行了四次调查,共鉴定出浮游植物6门38属95种。对13个备选指标进行分布范围、判别能力及Pearson相关性分析,构建了适合长江上游的浮游植物生物完整性指数(P-IBI)指标体系,即香农多样性指数、Margalef丰富度指数、Pielou均匀度指数、浮游植物密度、硅藻密度百分比等参数指标。采用3分制法、4分制法和比值法分别对生物指标计分,评价结果显示:高庄桥、羊石处于"健康"状态;白沙处于"亚健康"状态;而江安、德感处于"亚健康"向"一般"过渡状态。综合来看,三种评价方法所反映各样点的健康状况基本一致,只是4分制法和比值法在划分评价等级上更细致,评价结果更精确。Pearson相关性分析显示:TN、pH与P-IBI值呈显著负相关(P0.05)。     

Development and evaluation of a fish‐based index to assess biological integrity of Mediterranean streams

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Fish-based methods for assessing European running waters: a synthesis

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