基于Copula 函数的边坡可靠度高效分析方法

将Copula函数与高效蒙特卡洛方法结合,提出了含相关随机变量的边坡可靠度高效分析方法。以两个岩质边坡稳定性问题为例验证了所提方法的有效性。结果表明,该方法相比于直接蒙特卡洛方法在保证边坡失效概率的准确性的同时计算效率更高。Copula函数可以构造出具有不同相关结构的岩土体参数的联合概率分布,与高效蒙特卡洛方法(即蒙特卡洛重要抽样方法和子集模拟)结合能高效地处理含多种相关随机变量的边坡可靠度计算问题,相比于现行的Nataf变换方法结果更能体现岩土边坡真实稳定性。此外,该方法也能高效地计算含有复杂的隐式功能函数的边坡可靠度,研究成果拓展了高效蒙特卡洛方法在边坡可靠度分析中的应用。     

渭河流域生态功能区划

以渭河流域为研究对象,根据流域生态环境现状,建立合理的指标体系,结合GIS与RS技术对研究区进行区划,并针对各功能区的主导生态功能或主要生态问题制定相应生态环境保护与建设重点。结果表明:渭河流域可被划分为7个生态功能区:①防旱抗旱区;②农业种植区;③牧业发展区;④水源涵养区;⑤防风固沙区;⑥植被保护区;⑦土壤侵蚀控制区。本研究为区域有效开发利用资源,合理制定生态环境保护措施提供科学依据。     

人参皂苷和多糖对肺肠功能影响研究进展

消化和呼吸功能是畜牧养殖过程中面临的两大问题,其会严重影响畜牧业经济效益。作为人参主要功能性成分,人参总皂苷和人参多糖在肺肠功能调节方面具有较好效果。本文总结了近年来人参总皂苷和人参多糖对肺肠功能调节的研究情况,以期为其在畜牧生产应用方面提供参考。     

牛TLR4基因生物信息学分析

为了更加深入地了解牛TLR4基因的功能、结构及与该基因有关联的疾病识别及其致病机理,利用牛TLR4基因的氨基酸序列对其编码蛋白的基本理化性质、蛋白质译后的磷酸化位点和糖基化位点以及跨膜结构域和蛋白质结构进行预测。结果显示,牛TLR4基因一共编码841个氨基酸,负电荷残基总和(Asp+Glu)为84,正电荷残基总和(Arg+Lys)为76,不稳定指数小于40,表明该基因编码产物稳定性较好。在该基因整个编码产物中,亲水氨基酸占比较多,平均分值为-0.011,由此得知TLR4基因编码的蛋白质是一种易溶蛋白。有9个潜在的N-糖基化位点;78个磷酸化位点以及存在一个跨膜蛋白和存在信号肽,其切割位点在第25和第26个氨基酸之间。蛋白质的二、三级结构预测结果显示,二级结构和三级结构均由α-螺旋、β-折叠和无规则卷曲组成,其在生物合成、基因表达与调控等方面有重要作用。本研究结果可为牛TLR4基因深入研究提供理论基础。     

Improvement,identification, and target prediction for miRNAs in the porcine genome by using massive,public high-throughput sequencing data

Despite the broad variety of available microRNA (miRNA) research tools and methods, their application to the identification, annotation, and target prediction of miRNAs in nonmodel organisms is still limited. In this study, we collected nearly all public sRNA-seq data to improve the annotation for known miRNAs and identify novel miRNAs that have not been annotated in pigs (Sus scrofa). We newly annotated 210 mature sequences in known miRNAs and found that 43 of the known miRNA precursors were problematic due to redundant/missing annotations or incorrect sequences. We also predicted 811 novel miRNAs with high confidence, which was twice the current number of known miRNAs for pigs in miRBase. In addition, we proposed a correlation-based strategy to predict target genes for miRNAs by using a large amount of sRNA-seq and RNA-seq data. We found that the correlation-based strategy provided additional evidence of expression compared with traditional target prediction methods. The correlation-based strategy also identified the regulatory pairs that were controlled by nonbinding sites with a particular pattern, which provided abundant complementarity for studying the mechanism of miRNAs that regulate gene expression. In summary, our study improved the annotation of known miRNAs, identified a large number of novel miRNAs, and predicted target genes for all pig miRNAs by using massive public data. This large data-based strategy is also applicable for other nonmodel organisms with incomplete annotation information.     

主成分分析和长短时记忆神经网络预测水产养殖水体溶解氧

为了提高水产养殖溶解氧预测的精度,提出了基于主成分分析(principal component analysis,PCA)和长短时记忆神经网络(long short-term memory,LSTM)的水产养殖溶解氧预测模型。首先通过主成分分析提取水产养殖溶解氧的关键影响因子,消除了原始变量之间的相关性,降低了模型输入向量维度;然后,在Tensorflow深度学习框架的基础上建立LSTM神经网络的水产养殖溶解氧预测模型;最后,利用该模型对浙江省淡水水产养殖研究所综合实验基地某池塘溶解氧进行验证。试验结果表明:该模型与BP神经网络等其他浅层模型相比,模型评价指标平均绝对误差、均方根误差和平均绝对误差分别为0.274、0.089和0.147,均优于传统的预测方法;该模型具有良好的预测性能和泛化能力,能够满足水产养殖溶解氧精确预测的实际需要,可以为水产养殖水质精准调控提供参考。     

非昆虫源人工饲料饲养的七星瓢虫对豆蚜的捕食功能

为评价非昆虫源人工饲料饲养七星瓢虫的捕食能力，在室内比较了用人工饲料饲养的七星瓢虫种群和蚜虫饲养的七星瓢虫种群对豆蚜捕食作用的异同。结果表明，两种七星瓢虫种群各虫态的捕食量均随着猎物密度的增加而上升，当猎物密度增加到一定水平，捕食量趋向稳定，捕食功能反应曲线均符合Holling Ⅱ型方程。人工饲料饲养种群的1～4龄幼虫、雌成虫和雄成虫的理论最大日捕食量分别是20.9、36.0、100.2、403.2、490.9和395.3头，蚜虫饲养种群的1～4龄幼虫、雌成虫和雄成虫的理论最大日捕食量分别是20.0、28.9、102.1、476.2、472.2和396.4头。结果说明两种种群各虫态对豆蚜的最大日捕食量差异不大，表明人工饲料饲养的七星瓢虫对豆蚜也有较强的控制作用。     

Identifying Soil and Plant Nutrition Factors Affecting Yield in Irrigated Mature Pistachio Orchards

The main objective of this study was to evaluate the potential use of a hybrid Genetic Algorithm-Artificial Neural Network (GA–ANN) method for predicting pistachio yield and for identifying the determinant factors affecting pistachio yield in Rafsanjan region, Iran. A total of 142 pistachio orchards were selected randomly and soil samples were taken at three depths. Besides, water samples and leaves from branches without fruit were taken in each sampling point. Management information and pistachio yields were achieved by completing a questionnaire. Primarily, 58 variables affecting pistachio yield were measured, and then 26 out of them were selected by minimizing mean square error (MSE) using a feature selection (FS) method. The results showed that the accuracy of the method was acceptable. Furthermore, the sensitivity analysis showed that the main determinant features affecting the pistachio yield were the irrigation water amount, leaf phosphorus, soil soluble magnesium, electrical conductivity (EC), and leaf nitrogen.     

Physical forcing on fish abundance in the southern California Current System

The California Current System (CCS) is an eastern boundary current system with strong biological productivity largely due to seasonal wind‐driven upwelling and transport of the California Current (CC). Two independent, yet complementary time series, CalCOFI ichthyoplankton surveys and sampling of southern California power plant cooling‐water intakes, have indicated that an assemblage of predominantly cool‐water affinity fishes spanning nearshore to oceanic environments in the southern CCS has declined dramatically from the 1970s to the 2000s. We examined potential oceanographic drivers behind this decline both within and north of the CalCOFI survey area in order to capture upstream processes as well. Empirical orthogonal function (EOF) analyses using output from a data‐assimilative regional ocean model revealed significant relationships between the fish time series and spatial patterns of upwelling, upper ocean heat content and eddy kinetic energy in the CCS. Correlation and linear regression analyses indicated that the declining trend in fish abundance was correlated with a suite of factors: reduced offshore and increased inshore upwelling; a long term warming trend combined with more recent interannual variability in ocean temperature; weaker eddy kinetic energy north of Point Conception (35°N), potentially indicating reduced transport of the California Current (CC); increased influence of the California Undercurrent (CUC); and a decline in zooplankton displacement volume across the southern CCS. Understanding how changes in oceanography affect fish populations will offer insights into managing fisheries in a changing climate.