固相萃取-高效液相色谱法测定水中微囊藻毒素质量控制指标研究

采用固相萃取－液相色谱法,通过统计全国多家实验室的测定数据,对水中微囊藻毒素测试的平行样测定相对偏差、空白加标回收率、实际样品加标回收率、空白加标回收率平行样相对偏差以及样品加标回收率平行样相对偏差5个质控指标进行了研究,并给出了质控指标评价标准,提出在概率P和γ均为0.90时,其平行样测定允许最大相对偏差应控制在7.3%;空白加标质量浓度为0.005~20 μg/L时,回收率的控制范围为61%~125%;样品测定浓度为未检出、加标质量浓度在0.2~3.6 μg/L时,实际样品加标回收率控制范围为66%~108%;空白加标、样品加标回收率平行样最大相对偏差应分别控制在3.9%和8.9%。在概率P和γ均为0.95时,其平行样测定允许最大相对偏差应控制在8.3%;空白加标质量浓度为0.005~20 μg/L时,回收率的控制范围为49%~137%;样品测定浓度为未检出、加标质量浓度在0.2~3.6 μg/L时,实际样品加标回收率控制范围为60%~114%;空白加标、样品加标回收率平行样最大相对偏差应分别控制在5.2% 和14.8%。     

小净距偏压隧道在特殊素填土施工顺序研究

在较特殊素填土中,为能更好地确定在相同的施工方法下,不同的施工顺序对改善隧道围岩变形和衬砌内力的影响,文章重点以重庆曾家岩浅埋暗挖隧道为依托,运用二维数值模拟分析,研究在特殊回填土下,隧道不同施工顺序引起的围岩变形、衬砌内力变化、塑性区分布规律.从数值模拟结果可以看出,不同施工顺序下,围岩变形、衬砌内力、塑性区分布存在...     

Orientation behavior of homing pigeons at the Gernsheim anomaly

Pigeons were released at four release sites within the Gernsheim anomaly, a magnetic 'hill' with a peak 199 nT above the regional reference field and gentle 'slopes' to all sides, situated 44 km south of the Frankfurt loft. Local magnetic conditions at the sites differed in total intensity and in direction and steepness of the intensity gradient. At all sites, the pigeons were well oriented, showing counterclockwise deviations from the home directions that were most pronounced in the western part of the anomaly. There was no systematic difference in orientation behavior or homing performance between the sites within the anomaly and a control site outside. No effect of the local gradient direction was found, nor did the difference in intensity between home loft and the release site affect behavior. This argues against the use of magnetic navigational factors. However, pigeons released for the first time within the anomaly tended to have longer mean vectors with increasingly steeper gradients, which could mean that the birds might somehow have realized the anomalous nature of the local magnetic conditions and ignored them, relying on non-magnetic cues instead.Communicated by R. Gibson     

Hedonic analysis of hazardous waste sites in the presence of other urban disamenities

Hedonic research indicates that residential property values are reduced by increased proximity to hazardous waste sites, a measure of diminished environmental quality. Standard hedonic procedures measure proximity by the linear distance between a property and a waste site of interest. A sample of properties is then used to estimate a distance-to-site coefficient that measures the effect of the hazardous waste site on surrounding property values. These estimates can help policy makers assess the external effects of hazardous waste sites and may also be useful in both prioritizing and assessing the benefits of cleanup. In an urban situation, hazardous waste sites are often located near other industrial disamenities such as railroads, storage tanks, industrial noises, and air pollution. This spatial grouping of hazards may be due to economic forces or due to policy instruments such as zoning. As a result, distance to hazardous waste site may be correlated with distances to other industrial disamenities. Standard hedonic procedures that use a distance-to-site variable may suffer from omitted variable bias when the bundled industrial disamenities are present but ignored. Our empirical analysis examines this bias by assessing hedonic regressions with and without a measure that accounts for industrial activity.     

Joint versus separate estimation of state and change in category frequencies from repeat stratified two-phase sampling with a fallible classifier

Joint maximum likelihood estimates (JML) of category frequencies and change from repeat stratified two-phase samplingsurveys with a fallible classifier are often seriously biased andhave large root mean square errors when they are obtained for small populations (<5000) with three or more categories and amoderate to small phase II sample size (<1000). JML estimates of state also depend on antecedent or posterior data, a recipe for inconsistency. In these situations, a separate maximum likelihood estimation (SML) of category frequenciesat each survey date appears preferable. SML estimates of net change are obtained as the difference in states. SML standard errors of change are obtained via an estimate of the temporal correlation and variances of state. A bivariate binarylogistic model of change provided the estimate of temporal correlation. SML generally outperformed JMLsignificantly in terms of bias and root mean square errors in eight case studies.     

A method to combine non-probability sample data with probability sample data in estimating spatial means of environmental variables

In estimating spatial means of environmental variables of a region from datacollected by convenience or purposive sampling, validity of the results canbe ensured by collecting additional data through probability sampling. Theprecision of the estimator that uses the probability sample can beincreased by interpolating the values at the nonprobability sample points tothe probability sample points, and using these interpolated values as anauxiliary variable in the difference or regression estimator. Theseestimators are (approximately) unbiased, even when the nonprobability sampleis severely biased such as in preferential samples. The gain in precisioncompared to the estimator in combination with Simple Random Samplingis controlled by the correlation between the target variable andinterpolated variable. This correlation is determined by the size (density)and spatial coverage of the nonprobability sample, and the spatialcontinuity of the target variable. In a case study the average ratio of thevariances of the simple regression estimator and estimator was 0.68for preferential samples of size 150 with moderate spatial clustering, and0.80 for preferential samples of similar size with strong spatialclustering. In the latter case the simple regression estimator wassubstantially more precise than the simple difference estimator.     

管制员认知偏差测评量表的编制与应用

利用信息加工模型,结合管制工作的特殊性,编制出管制员认知偏差测评量表。利用该量表对管制员认知偏差进行测量,结果表明管制员管制过程中存在较大的认知偏差;不同性别及年龄的管制员在认知偏差方面存在显著差异。     

How to dissolve fixed‐pie bias in negotiation? Social antecedents and the mediating effect of mental‐model adjustment

Fixed‐pie bias, defined as the erroneous belief that the other negotiation party's interest is directly opposite to one's own, has been a consistent hurdle that negotiators must overcome in their efforts to achieve optimal negotiation outcomes. In this study, we explore the underlying cognitive mechanism and the social antecedents of fixed‐pie bias reduction in negotiation. Using data from a negotiation simulation with 256 participants, we found that mental‐model adjustments made by negotiators could effectively decrease fixed‐pie bias. More interestingly, we also found that negotiators were less likely to reduce fixed‐pie bias when negotiating with an in‐group member than with an out‐group member but only under a high accountability condition. Finally, we found that mental‐model adjustment mediated the effects of the aforementioned social antecedents (in‐groupness and accountability) on reduced fixed‐pie bias. We discuss the theoretical and practical implications of these findings. Copyright © 2015 John Wiley & Sons, Ltd.     

Using unobtrusive sensors to measure and minimize Hawthorne effects: Evidence from cookstoves

People act differently when they know they are being observed. This phenomenon, the Hawthorne effect, can bias estimates of program impacts. Unobtrusive sensors substituting for human observation can alleviate this bias. To demonstrate this potential, we used temperature loggers to measure fuel-efficient cookstoves as a replacement for three-stone fires. We find a large Hawthorne effect: when in-person measurement begins, participants increase fuel-efficient stove use approximately three hours/day (53%) and reduce three-stone fire use by approximately two hours/day (29%). When in-person measurement ends, participants reverse those changes. We then examine how this Hawthorne effect biases estimates of fuel use and pollution concentrations. Our results reinforce concerns about Hawthorne effects, especially in policy-relevant impact evaluations. By measuring the Hawthorne effect we permit researchers to correct for the bias it introduces.     

Using Expert Opinion Surveys to Rank Threats to Endangered Species: A Case Study with Sea Turtles

Abstract: Little is known about how specific anthropogenic hazards affect the biology of organisms. Quantifying the effect of regional hazards is particularly challenging for species such as sea turtles because they are migratory, difficult to study, long lived, and face multiple anthropogenic threats. Expert elicitation, a technique used to synthesize opinions of experts while assessing uncertainty around those views, has been in use for several decades in the social science and risk assessment sectors. We conducted an internet‐based survey to quantify expert opinion on the relative magnitude of anthropogenic hazards to sea turtle populations at the regional level. Fisheries bycatch and coastal development were most often ranked as the top hazards to sea turtle species in a geographic region. Nest predation and direct take followed as the second and third greatest threats, respectively. Survey results suggest most experts believe sea turtles are threatened by multiple factors, including substantial at‐sea threats such as fisheries bycatch. Resources invested by the sea turtle community, however, appear biased toward terrestrial‐based impacts. Results from the survey are useful for conservation planning because they provide estimates of relative impacts of hazards on sea turtles and a measure of consensus on the magnitude of those impacts among researchers and practitioners. Our survey results also revealed patterns of expert bias, which we controlled for in our analysis. Respondents with no experience with respect to a sea turtle species tended to rank hazards affecting that sea turtle species higher than respondents with experience. A more‐striking pattern was with hazard‐based expertise: the more experience a respondent had with a specific hazard, the higher the respondent scored the impact of that hazard on sea turtle populations. Bias‐controlled expert opinion surveys focused on threatened species and their hazards can help guide and expedite species recovery plans.