An evaluation of the Abaxis VSPro for the measurement of equine plasma fibrinogen concentrations     

Epstein KL  Brainard BM 《Equine veterinary journal》2012,44(4):449-452

Reasons for performing study: Accurate measurement of plasma fibrinogen concentrations is an important tool for assessment of horses with inflammatory diseases. Objectives: To determine the precision and accuracy of a benchtop instrument using both fresh and frozen equine plasma by comparing the plasma fibrinogen concentration measured by a benchtop instrument to 2 separate laboratory standard methods (ACL 100 and STA Compact) for fibrinogen measurement. Methods: Accuracy and precision of the VSPro was evaluated using both human fibrinogen standards and samples from horses. Fifty frozen samples from horses with gastrointestinal disease had the fibrinogen concentration measured using the ACL 1000 and the VSPro. Fifty fresh samples were collected from hospitalised horses and fibrinogen concentration was measured using the STA Compact coagulation machine and the VSPro. Correlations for measurements were performed, as well as Bland‐Altman analysis. Results: Coefficients of variability for the VSPro ranged from 7% to 15%. The VSPro fibrinogen values were well correlated to both the ACL 1000 (r = 0.94, P<0.001) and the STA Compact measurements (r = 0.926, P<0.001). Bland‐Altman analysis showed a mean bias of ‐0.83 g/l (95% confidence interval ‐2.03–0.324 g/l) for the ACL 1000 and a mean bias of ‐0.024 g/l (95% confidence interval ‐1.434–1.386 g/l) for the STA Compact. Conclusions: The VSPro appears to have adequate accuracy and precision for clinical measurement of plasma fibrinogen concentrations. Potential relevance: The VSPro provides a measurement of equine plasma fibrinogen concentration using a benchtop instrument with a rapid test time that has comparable accuracy to the fibrinogen concentration obtained from reference laboratories.  相似文献   

土壤湿度农业干旱指数的改进及其适用性     

吕天  刘珺  李子璇  王曼琦 《农业工程学报》2023,39(17):116-123

准确监测农业干旱是保障粮食安全的基础。针对土壤湿度农业干旱指数(soil moisture agricultural drought index,SMADI)在干旱半干旱地区旱情监测不准确的问题,对SMADI进行了改进,同时修正了改进后的土壤湿度农业干旱指数(modified soil moisture agricultural drought index,SMADI_M)的干旱等级划分标准,并从全区与局部尺度、时间和空间尺度、以及对干旱响应的时效性三方面对SMADI_M的可靠性进行了验证。结果表明：SMADI_M改进了SMADI在低植被覆盖区存在的旱情高估的问题,弥补了SMADI的不足,可用于任意植被覆盖区的旱情监测;SMADI_M能够准确捕捉不同时间尺度(年、季、月)和空间尺度(全局、局部)的旱情信息,有效提高了农业干旱监测精度;与植被条件指数(vegetation condition index,VCI)和标准化降水蒸散指数(standardized precipitation evapotransp...  相似文献   

Hierarchical self-localization of underwater wireless sensor network nodes     

ZHANG Hu  LIU Yu-liang 《保鲜与加工》2013,(1):41-48

The follow-up application of underwater wireless sensor network is influenced by accuracy of self-localization of nodes. The self-localization of nodes is discussed in this paper. First of all, nodes of underwater wireless sensor network are classified into several levels according to the accuracy of position of nodes and the levels are from the first to the fifth in accordance with accuracy of nodes from high to low respectively. Secondly, the level of anchor nodes can be known by those unknown nodes from the information given by the anchor nodes themselves, At the same time the unknown nodes are able to be located in the area controlled by the first level of anchor nodes that are as the aggregation. Then the positioning algorithm is designed correspondingly in accordance with the accuracy level of nodes. Finally, the positioning algorithm is simulated and analyzed. The result shows that the unknown nodes can be located effectively by hierarchical control.  相似文献   

个人信息的刑法保护研究          下载免费PDF全文

王娇娇  胡思宁 《现代农业研究》2019,(8):133-134

我国《刑九》新增了侵犯公民个人信息罪并通过司法解释对该罪名予以完善。但该罪 在具体认定过程中存在一些问题与争议,因而有必要对其进行研究,为大数据时代下公民个人 信息安全提供更强有力的保障。  相似文献   

基于机器学习的高光谱湿地植被分类研究     

罗宁  阮仁宗  王俊海 《林业调查规划》2019,(3):1-7

为实现湿地植被的精细分类和高精度制图,为湿地管理部门提供准确的决策依据,以美国加州萨克拉门托—圣华金水域的典型湿地植被为研究对象,以高光谱影像为数据源,结合野外GPS采样点,对典型湿地植被的光谱反射率作一阶导数和二阶导数处理,基于均值置信区间原理筛选特征波段,基于单因素分析法筛选能够明显区分植被类型的植被指数。联合特征波段和植被指数构建特征集,利用机器学习C5.0决策树生成知识规则并提取湿地植被信息。结果表明,基于机器学习C5.0决策树的湿地植被提取总体精度为80.09%,Kappa系数为0.792,与最大似然法比较,总体精度提升10.79%,Kappa系数提升0.105,说明基于机器学习的C5.0决策树法能够实现植被的精细分类,方法切实可行。  相似文献   

基于遥感影像的昆明中心城区绿地信息提取     

张夏梦  刘敏  魏开云 《林业调查规划》2019,(2):18-22

以昆明中心城区遥感影像为研究数据,采用基于面向对象分类的研究方法,按照监督分类的思想,将地物分为城市绿地、林地、裸地、水体、建筑和道路6种类型,运用支持向量机的分类器对绿地信息进行提取,并根据总体分类精度和kappa系数的大小对分类结果进行验证,结果表明:城市绿地信息提取精度良好,符合城市绿地调查的精度标准,认为此种绿地信息提取方法值得推广运用。  相似文献   

一种基于花授粉算法的WRF风速集合预报新模型          下载免费PDF全文

田梦  曲宗希  吴彬贵  黄鹤  张文煜 《西南大学学报(自然科学版)》2019,41(8):99-106

基于不同水平分辨率和边界层参数化方案的集合预报思路,应用花授粉算法与不限制负值的约束理论(FPA-NNCT)进行权重平均,提出一种新的风速集合预报模型(FPA-NNCT-WRF-E).利用山东省代表山地和海滨下垫面的2个风电场风速实测数据,将新模型与传统算术集合模型(M-WRF-E)以及FPA模型(FPA-WRF-E)的风速预报结果进行对比评估.结果表明:FPA-NNCT-WRF-E预报明显优于M-WRF-E和FPA-WRF-E的风速预报,与M-WRF-E相比, FPA-WRF-E将风速平均绝对误差(MAE)减小了20%以上,而新模型FPA-NNCT-WRF-E将MAE减小了38%以上.预报的准确性得到了提高.  相似文献   

Mixed-effect non-linear modelling for diameter estimation along the stem of Tectona grandis in mid-western Brazil     

Luciano Rodrigo Lanssanova  Sebastião do Amaral Machado  Alexandre Techy de Almeida Garrett  Izabel Passos Bonete  Allan Libanio Pelissari  Afonso Figueiredo Filho 《Southern Forests》2019,81(2):167-173

This study evaluated the efficiency of taper functions and the application of mixed-effect modelling for diameter estimation along the stems of Tectona grandis. We sampled 266 trees of Tectona grandis, measuring the diameter at relative heights for volume determination, grouping the data according to three form-factor classes. Six taper functions were fitted, selecting the function with better fit performance. Six taper functions were fitted, selecting the function with better fit performance. The selected function was fitted in its basic formulation, and with the mixed non-linear modelling technique in different scenarios, and for the stem stratified in three portions of the total height. The precision and selection of the adjusted models were evaluated regarding the coefficient of determination, standard error of estimate, the Akaike information criterion, bias, quadratic error and absolute bias. According to the statistical criteria used, the model of Kozak was selected for the adjustments. For diameter estimation, the scenario with two coefficients as random effects provided an accuracy increase of 11.91%, and the mixed non-linear modelling better estimated the stem diameter for the stratified stems. In conclusion, the model of Kozak can be used to describe the stem shape of Tectona grandis, and the mixed-effect non-linear model approach was the best technique to estimate diameter along the stem of Tectona grandis.  相似文献   

柑橘采摘机械臂控制算法研究     

郝光鹏  宁志刚 《现代农业装备》2019,40(1):46-51

对3自由度柑橘采摘机械臂控制算法进行研究。调用OpenGL相关函数建立3D仿真模型,利用DH参数法与雅克比矩阵求逆法对机械臂进行运动学正解与逆解建模,并使用robotic toolbox对所获得的运动学逆解结果进行验证。利用拉格朗日法进行动力学计算,并模拟机械臂实际工作中的受力情况。结果表明,控制算法控制效果良好,能满足柑橘采摘机械臂运动控制的要求。  相似文献   

龙门式点样仪精度的研究     

方佳伟  蔡锦达  姚莹 《农业装备与车辆工程》2019,(1):63-67

为了实现龙门式点样仪的高精度运动控制,采用一种消除反向误差方法,消除双输出轴电机驱动设备两侧松紧程度不同的同步带轮运动过程中,设备返回启动位置时,连接两侧运动机构的桥梁与启动时产生的夹角,提高了设备的重复定位精度;改进了一种标定方法,提高了设备的定位精度。通过基于ARM9的微控制器对是否采用上述方法进行对比实验,利用激光跟踪仪测量了设备的重复定位精度以及定位精度。实验结果表明:未采用上述方法,设备重复定位精度为0.09 mm,定位精度为0.07 mm。采用上述方法,设备的重复定位精度可达0.01 mm,定位精度可达0.03 mm。  相似文献