Reducing error in feline platelet enumeration by addition of Iloprost to blood specimens: comparison to prostaglandin E1 and EDTA          下载免费PDF全文

Harold W. Tvedten  Kerstin Bäcklund  Inger E. Lilliehöök 《Veterinary clinical pathology / American Society for Veterinary Clinical Pathology》2015,44(2):179-187

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Accounting for unknown foster dams in the genetic evaluation of embryo transfer progeny     

M.J. Surez  S. Munilla  R.J.C. Cantet 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2015,132(1):21-29

Animals born by embryo transfer (ET) are usually not included in the genetic evaluation of beef cattle for preweaning growth if the recipient dam is unknown. This is primarily to avoid potential bias in the estimation of the unknown age of dam. We present a method that allows including records of calves with unknown age of dam. Assumptions are as follows: (i) foster cows belong to the same breed being evaluated, (ii) there is no correlation between the breeding value (BV) of the calf and the maternal BV of the recipient cow, and (iii) cows of all ages are used as recipients. We examine the issue of bias for the fixed level of unknown age of dam (AOD) and propose an estimator of the effect based on classical measurement error theory (MEM) and a Bayesian approach. Using stochastic simulation under random mating or selection, the MEM estimating equations were compared with BLUP in two situations as follows: (i) full information (FI); (ii) missing AOD information on some dams. Predictions of breeding value (PBV) from the FI situation had the smallest empirical average bias followed by PBV obtained without taking measurement error into account. In turn, MEM displayed the highest bias, although the differences were small. On the other hand, MEM showed the smallest MSEP, for either random mating or selection, followed by FI, whereas ignoring measurement error produced the largest MSEP. As a consequence from the smallest MSEP with a relatively small bias, empirical accuracies of PBV were larger for MEM than those for full information, which in turn showed larger accuracies than the situation ignoring measurement error. It is concluded that MEM equations are a useful alternative for analysing weaning weight data when recipient cows are unknown, as it mitigates the effects of bias in AOD by decreasing MSEP.  相似文献   

不同坐标变换方法对城市复杂下垫面碳通量的影响     

郭智明  赵仲辉 《湖南林业科技》2015,(3)

利用长沙城市森林生态站2013年1—12月的CO2通量数据,分析了三维超声风速的三种坐标变换结果的差异。结果表明:二次旋转(DR)或三次旋转(TR)变换的Pitch角和Roll角变化幅度远大于平面拟合(PF)变换,且都有明显的方向性;DR和TR变换强迫平均垂直风速为0,不符合城市热岛环流引起的平均垂直风速不为0的事实;DR和TR变换明显改变了摩擦速度的大小;TR变换增大了CO2通量的不确定性。因此,本站的倾斜校正宜采用平面拟合变换。  相似文献   

旋转式多比例分样方法对作物籽粒分样效果的研究     

杨富淇  谢美西  薛鸣星  高中斗  谢光辉 《中国农业大学学报》2022,27(10):111-119

为验证旋转式多比例分样方法的可行性,探究旋转式多比例分样方法对作物籽粒的分样效果,以谷子、绿豆、大豆和玉米籽粒材料制备成混合样品,在不同转速(0~30.0 r/min)处理和不同进样时间(60、90、120 s)内比较旋转式多比例分样方法获得1/2、1/4、1/8和1/16子样的代表性和缩分比误差。结果表明,在转速0~30.0 r/min和进样时间60~120 s的情况下,旋转式多比例分样方法获得子样的分样误差和均无显著差异,且均不高于四分法(CK)。但是,除不旋转(0 r/min)处理的1/8四盒和1/16单盒及30 r/min处理的1/16单盒子样的缩分比误差显著高于对照外,旋转处理(转速≥7.5 r/min)的单盒、双盒或四盒子样的缩分比误差不高于四分法对照。因此,在进行样品前处理的分样工作中应用旋转式多比例分样方法是可行的,应设置转速≥7.5 r/min,取相对2个扇盒或十字相对4个扇盒形成的子样。  相似文献   

基于注意力机制的时空卷积数控机床热误差模型研究     

杜柳青  李仁杰  余永维 《农业机械学报》2021,52(5):404-411

为了提高数控机床热误差模型的精度与泛化性,提出了基于注意力机制的长短时记忆卷积神经网络(Long short term memory convolutional neural network based on attention mechanism, AM-CNN-LSTM)热误差模型。利用卷积神经网络提取高维数据空间状态特征的能力和长短时记忆网络提取长时间序列状态特征的能力,构建具有2个支路的热误差模型,分别提取特征后输入到注意力机制中进行特征重要性重构,建立原始数据与热误差的特征映射,最后通过全连接层进行热误差预测。采用G460L型数控机床进行实验数据采集,将不同季节采集到的温度数据和热误差作为模型输入,采用循环学习率与正则化优化方法对模型进行训练。与LSTM、ConvLSTM和CNN-LSTM热误差模型对比,结果表明,AM-CNN-LSTM模型对特征还原能力最强,残差波动范围最小,其残差范围较最大值下降62.09%,模型预测精度在2.4μm以内。  相似文献   

刚柔耦合串联机械臂末端位置误差分析与补偿     

谭月胜  詹登辉  张彭豪 《农业机械学报》2021,52(2):416-426

机械臂连杆柔性、关节柔性等非线性变形的综合影响,导致其末端位置发生偏离而产生误差。本文以IRB1410型串联机械臂为研究对象,采用理论分析、仿真分析与实验验证相结合的方式,对机械臂末端位置误差进行分析与补偿研究。首先,建立机械臂刚柔耦合理论误差模型,并运用Newmarkβ法进行数值仿真分析;联合ANSYS和ADAMS进行刚柔耦合机械臂末端位置运动误差仿真;为了实现快速补偿,提出基于BP神经网络的伪目标点法对位置误差进行补偿,补偿后其位置误差均方根减小了68.3%,说明该方法具有较好的补偿效果;最后,自主设计并搭建了测量实验平台,采用所提算法进行了误差补偿实验,对比补偿前后距离误差,补偿后误差均方根减小了77.01%,验证了伪目标点法对柔性误差补偿的有效性。  相似文献   

大空间运动3-RRRU并联机器人运动学标定与误差分析     

赵磊  闫照方  栾倩倩  赵新华  李彬 《农业机械学报》2021,52(11):411-420

并联机器人具有高速、高刚度和大负载等明显优势,被广泛应用到农业和工业领域,但多关节导致该类机器人控制精度不高。针对大空间运动3-RRRU并联机器人的运动学建模和误差标定方法展开了系统、深入研究。综合应用DH法和空间矢量法建立了机器人的运动学模型,在此基础上,借助偏微分理论推导并建立机器人的误差模型;应用激光跟踪仪进行不同轨迹下机器人的空间位置数据采集,对一般遗传算法进行改进,以等步距搜索策略实现主要遗传算子的优化,并通过全局数值寻优获取机器人的误差补偿数据,完成标定和补偿工作。实验表明：基于直线标定方式,补偿后直线轨迹跟踪误差控制在0.14～1.34mm,但不适用于曲线轨迹补偿,其实测补偿后的最大误差高达5.08mm。曲线轨迹标定精度高于直线轨迹标定,补偿后将直线和曲线两种路径下的最大误差分别降低至1.18mm和1.56mm。该标定方法自动化程度高,适用于含有大量关节并联机器人的误差标定工作。  相似文献   

Survey of point‐of‐care instrumentation,analysis, and quality assurance in veterinary practice     

Regan Bell  Kendal Harr  Mark Rishniw  Paul Pion 《Veterinary clinical pathology / American Society for Veterinary Clinical Pathology》2014,43(2):185-192

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Negative interference of icteric serum on a bichromatic biuret total protein assay     

Aradhana Gupta  Steven L. Stockham 《Veterinary clinical pathology / American Society for Veterinary Clinical Pathology》2014,43(3):422-427

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Efficiency of presence-absence sampling used to estimate the mean abundance of fish eggs     

Sakutaro?YamadaEmail author  Hiromu?Zenitani 《Fisheries Science》2005,71(4):805-816

ABSTRACT:   Statistical properties of estimators relating to the mean abundance of fish eggs were investigated using the data from the presence-absence sampling (PAS) and counting sampling (CS). PAS, which focuses on the presence-absence of eggs in a sample, is more cost-effective yet is unlikely to give more precise estimates than CS, which counts the number of eggs. But when limitations are given on the sampling cost and number of sampling stations, PAS may have advantages. This study shows that the mean square error (MSE) of the maximum likelihood estimator (MLE) based on PAS may become smaller than the MSE of the MLE based on counting data when the number of observations for PAS becomes larger. The observation number for PAS is determined, which minimizes the MSE of a combined estimator from the two MLE under a restriction of the total cost of observation. A dual problem is also solved. It is shown that MSE of the MLE in PAS is a monotone increasing function of the oversight probability. PAS becomes more informative as the distribution of the number of eggs is more aggregated.  相似文献