高效液相色谱法测定巴氏杀菌乳中糠氨酸含量的不确定度评定

目的 对高效液相色谱法测定巴氏杀菌乳中糠氨酸含量的不确定度进行评定。方法 依据《NY/T939—2016 巴氏杀菌乳和UHT灭菌乳中复原乳的鉴定》测定巴氏杀菌乳中糠氨酸的含量。通过建立数学模型,全面分析试验过程中各不确定度的来源,并对其进行量化评定,计算合成相对标准不确定度和扩展不确定度。结果 当牛奶中糠氨酸含量为7.3 mg/100 g 蛋白质时,测量结果的扩展不确定度为0.4 mg/100 g蛋白质（k=2）。结论 方法中测量不确定度的主要来源为糠氨酸标准物质称量、标准工作液的配制、标准曲线的拟合和样品水解液中蛋白质含量测定终点判定。     

乳粉溶解度测定的不确定度评定

[目的]研究乳粉溶解度的不确定度评定。[方法]根据《GB 5413.29—2010 食品安全国家标准婴幼儿食品和乳品溶解性的测定》中的第二法溶解度的测定来测定乳粉的溶解度。通过分析不确定度的来源,建立完整的数学模型,对模型中的各影响因素的不确定度进行评定和计算,合成相对标准不确定度,计算相对扩展不确定度。[结果]当取置信度为95%时,得到的乳粉溶解度：X=（99.97±1.60） g/100 g,取k=2,扩展不确定度为U=1.60 g/100 g。[结论]该方法可以为乳粉溶解度的不确定度评定提供参考依据。     

中纤板热压机微机测控系统的研究

采用单片机与台式微机结合构成中纤板热压机微机测控系统，用MCS-51汇编语言和基于Windows98的Visual Basic6.0分别编写单片机数据采集与控制程序和微机主控程序，具有数据处理能力强、数据存储量大、操作界面直观方便等优点。系统设计中考虑了系统的可扩展性和通用性，便于系统扩展和移植。     

木质材料表面粗糙度光学付立叶测量方法的研究

阐述了木质材料表面粗糙度现有的测量技术与研究现状，研究了木质材料表面的统计模型和一维高斯型木质材料表面光学付立叶变换谱强度分布的模型，并得到了计算木质材料表面粗糙度均方根误差和自相关函数的数学公式。测量两个参数的实验系统，将具有非接触、高测量速度、测量不受被测材料影响和能得到比较多的轮廓信息等优点，进一步完善后，可用于木质材料表面粗糙度的分类检测及监控。     

石竹叶面积指数的测定

通过对石竹叶面积指数测定表明 ,叶面积随胸径的增大而趋于增大 ,当林分密度为 30 0 0 0～ 375 0 0株·hm-2 ,平均直径 2～ 3cm时 ,叶面积指数趋于合理 ,这时产量也最高     

硫酸卡那霉素注射液含量测定的不确定度分析

为研究微生物检定法(管碟法)测定硫酸卡那霉素注射液生物效价试验中各因素对结果的影响,采用不确定度分析,将影响因素归纳为称量、稀释、加样、测定、平行试验,量化各不确定度分量,评估各因素的影响因子。结果表明,牛津杯加样体积对测定结果影响最大,提示试验中应尽可能精确控制加样体积。     

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

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.     

兼顾面积属性与不确定性信息的样本点权重调整方法

样本点权重调整是遥感分类精度评价中样本点空间分配的关键环节。以北京市顺义区精度评价样本点为例,提出了一种兼顾面积属性与不确定性信息的样本点权重调整方法——模糊调整权重法,用于布设精度评价样本点。首先,构建用于表达不确定性信息的模糊中和指数及其权重,融合模糊中和指数权重和面积权重构建模糊调整权重,并计算各个分层的模糊调整权重结果,完成样本点特征空间分配;其次,设置不同梯度样本点集,结合平均最短距离最小化准则和空间模拟退火算法实现样本点地理空间优化布设;最后,构建权重调整效果评价指标,进行模糊调整权重效果评价,并与其他权重调整方法和未进行权重调整的布点方法进行对比分析。结果表明：顺义区不确定性大、中、小的层模糊调整权重分别为0.45、0.37、0.18,与面积权重相比,不确定性大的层权重显著增加、中层权重稍微增加、小层权重明显降低;5个不同数据集样本点权重调整的精度评价总体精度、相对精度、均方根误差和标准偏差结果分别为69.90%～73.48%、96.28%～99.82%、0.01和0.01;模糊调整权重布点方法评价效果优于面积权重、模糊中和指数权重、不确定性空间分层权重布点方法,以及空间...     

Accounting for uncertainty in pedotransfer functions in vulnerability assessments of pesticide leaching to groundwater

A simulation tool for site-specific vulnerability assessments of pesticide leaching to groundwater was developed, based on the pesticide fate and transport model MACRO, parameterized using pedotransfer functions and reasonable worst-case parameter values. The effects of uncertainty in the pedotransfer functions on simulation results were examined for 48 combinations of soils, pesticides and application timings, by sampling pedotransfer function regression errors and propagating them through the simulation model in a Monte Carlo analysis. An uncertainty factor, f(u), was derived, defined as the ratio between the concentration simulated with no errors, c(sim), and the 80th percentile concentration for the scenario. The pedotransfer function errors caused a large variation in simulation results, with f(u) ranging from 1.14 to 1440, with a median of 2.8. A non-linear relationship was found between f(u) and c(sim), which can be used to account for parameter uncertainty by correcting the simulated concentration, c(sim), to an estimated 80th percentile value. For fine-textured soils, the predictions were most sensitive to errors in the pedotransfer functions for two parameters regulating macropore flow (the saturated matrix hydraulic conductivity, K(b), and the effective diffusion pathlength, d) and two water retention function parameters (van Genuchten's N and alpha parameters). For coarse-textured soils, the model was also sensitive to errors in the exponent in the degradation water response function and the dispersivity, in addition to K(b), but showed little sensitivity to d. To reduce uncertainty in model predictions, improved pedotransfer functions for K(b), d, N and alpha would therefore be most useful.     

农产品电商集群企业地理集中度、双重知识网络嵌入与协同创新绩效

协同创新是农产品电商集群企业高质量发展的重要内容,对实现小农户生产与大市场消费有效衔接和农业现代化发展具有重要意义。本文利用湖北、江西和浙江3省358家农产品电商集群企业的微观调研数据,运用多层次回归分析和Bootstrap分析方法,分析农产品电商集群企业地理集中度、双重知识网络嵌入与协同创新绩效间的关系,探究资产专用性和环境不确定性的调节作用。结果表明,农产品电商集群企业地理集中度和协同创新绩效处于较高水平,双重知识网络嵌入、资产专用性和环境不确定性均处于中等水平。地理集中度、双重知识网络嵌入、资产专用性与协同创新绩效显著正相关,环境不确定性与协同创新绩效显著负相关。农产品电商集群企业地理集中度正向影响协同创新绩效。农产品电商集群企业双重知识网络嵌入在地理集中度与协同创新绩效间发挥部分中介作用。资产专用性正向调节双重知识网络嵌入与协同创新绩效的正向关系;环境不确定性负向调节双重知识网络嵌入与协同创新绩效的正向关系;资产专用性和环境不确定性对双重知识网络嵌入与协同创新绩效的正向关系存在联合调节效应。因此,农产品电商集群企业要加强与集群内外部企业合作创新,注重数字技术设备的投入和更新,构...